Data Scientist Resume Samples

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M Leffler

Maudie

Leffler

77795 Delfina Fords

San Francisco

+1 (555) 373 3338

77795 Delfina Fords

San Francisco

Phone

p +1 (555) 373 3338

Experience Experience

Philadelphia, PA

Data Scientist

Philadelphia, PA

Heaney-McLaughlin

Philadelphia, PA

Data Scientist

Contributing towards the creation of a set of tools, techniques and practices that maximise the impact and efficiency of the team in…
Analyzing large data sets, including synthesizing quantitative results, deriving business implications and making clear recommendations
Selecting features, building and optimizing classifiers using machine learning techniques
Harvesting of data from multiple systems globally
Evaluating statistical information to determine risk or non-compliance
Publishing activities - including publishing from internal content systems, checking content in checkout, promoting from checkout
Supporting analytics users throughout the organization

present

Dallas, TX

Data Scientist

Dallas, TX

Kshlerin-Mohr

present

Dallas, TX

Data Scientist

present

Building and productionizing predictive models on large datasets by utilizing advanced statistical modeling, machine learning, or other data mining techniques
Utilizing predictive models to build strategies that can address key issues in growth and operations
Pursuing a BS/BA/MS in a Mathematics, Physics, Statistics, Computer science, Finance, Operations Research, or related fields
Working knowledge in configuration management and ITIL processes
Managing the day-to-day activities of the research team
Staying up-to-date with trends, papers, and academia
Documenting recommendations in written reports and presentations to the customer

Education Education

Bachelor’s Degree in Computer Science

University of California, San Diego

Bachelor’s Degree in Computer Science

Skills Skills

Ability to tell stories with data using data visualization software such as Tableau, Excel, SPSS, or similar software in conjunction with strong verbal ability
Strong attention to detail, excellent organizational skills, and ability to manage multiple projects and responsibilities
Ability to analyze data and translate results into valuable knowledge information. Excellent problem solving skills essential
Highly motivated self-starter with experience producing high quality data deliverables and able to work independently and in a team environment
Ability to deliver on tight timelines and move quickly while maintaining attention to detail
Capability with Unit Test code for robustness, usability, and reliability
Strong SQL and knowledge of data extraction and manipulation techniques including the ability to stage and import large volumes of data
Ability to explore different directions based on data and be able to quickly change direction based on the analysis
Strong communication skills and ability to thrive in a fast paced, multiple deliverables, team-oriented environment
Ability to learn quickly in various technical and creative environments, while delivering quality work by tight deadlines

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15 Data Scientist resume templates

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Data Scientist Resume Examples & Samples

Excellent communication skills, including experience presenting to management
Team player with a passion for solving complex problems
Ability to structure and deliver analyses with minimal supervision
Hunger for continuous improvements in your approach to life
Demonstrated ability to be resourceful and entrepreneurial

Data Scientist Resume Examples & Samples

Ph.D. or Master’s degree in an area with strong statistical or machine learning focus (e.g. Applied Mathematics, Computer Science, Econometrics), or 5+ years of relevant work experience
Strong problem solving and analytic skills
Pragmatic approach to business problems
Affinity for mathematical problem solving
Fluency coding in a statistical programming environment (e.g. R)

Data Scientist Resume Examples & Samples

Solve problems of large dimensionality in a computationally efficient and statistically effective manner. Ensure that solutions are tailored for appropriate users and audiences
Develop and apply a broad range of techniques and theories from statistics, machine learning, NLP and business intelligence to deliver actionable business insights to clients based on large-scale data
Work closely with clients to understand analysis needs and jointly evaluate and institutionalize new analytical methods and techniques
Collaborate with client teams to effectively integrate and communicate analysis findings
Advise on use of appropriate tools, techniques and analytical frameworks
Evaluate emerging technologies that may contribute to analytic platforms

Data Scientist Resume Examples & Samples

Build and execute the company’s data mining and modeling activities in support of our clients’ online targeting and digital media marketing goals
Develop and maintain ongoing data exploratory analyses against internal and client-provided data
Support the business teams to solve complex segmentation and analysis challenges
Work with our R&D team to embed analytical technology into our platform
Conduct studies, tests and use advanced data mining & modeling techniques to build solutions that optimize the quality and performance of the company’s data

Data Scientist Resume Examples & Samples

Preparation of complex and large volume of structured and unstructured data coming from multiple integrated systems
Predictive Analysis to improve customer experience and persistence. Discovery of insights from large volume and high velocity unstructured data for business to develop targeted strategies for improved student experience
Data governance (e.g. defining metrics for new reports, database management, etc.)
Design and analysis of controlled randomized tests (e.g. multivariate testing)

Data Scientist Resume Examples & Samples

Experience with R, Python, SAS and data visualization software such as Tableau
Experience with machine and statistical learning areas such as classification, regression, clustering and text analysis
Experience using the aforementioned tools and technologies would be a plus
Intellectual curiosity, entrepreneurial drive, innovative structured thinking and problem solving skills
Comfortable in a small, intense high-growth start up environment Recruiter: Howard Fishman

Data Scientist Resume Examples & Samples

Translating product and insight visions into actionable data science projects
Leading a team of data scientists (both internal and external) to uncover insights that help improve our content and products
Acting as the day-to-day person to interact with other groups, ranging from content/editorial to product/engineering
Working with data product and engineering leads to architect, grow, and maintain clean and valuable data sets for analysis
Helping decide build vs. buy decisions among the many components / tools needed

Data Scientist Resume Examples & Samples

Identify macro- and micro- questions and metrics
Collect and grow data from various appropriate sources
Run/re-run experiments that can help address the questions
Lead the data-culture across the MTV Always On organization and ultimately enable analyzing, learning, and predicting winning content and product strategies
Identify the right set of questions to ask
Work with engineers to collect data
Ensure the data is of highest quality
Build predictive models to address unmet needs
2-5 yrs+ experience with deep data analytics , research and business intelligence
Experience developing algorithms that enhance both consumer and editorial experiences
Ph.D. or M.S. in a relevant technical field (e.g., computer science, applied mathematics, statistics, operations research, bioinfomatics)
Expertise in manipulating and analyzing unstructured, high-volume data from varying sources and in modern tools: R, Python/SciPy/NumPy, Tableau, NoSQL/SQL, Hadoop/Hive, and various public APIs
Ability to build analytical tools to analyze specific business needs
Ability to work cross-functionally and get buy-in from various stakeholders
A data scientist experienced with end-to-end at “labs,” that focus on the quality and not quantity of the exercises

Data Scientist Resume Examples & Samples

Leverage the data and insight generated by the company’s products to build models and analysis that drive revenue and identify product opportunities
Use state-of-the art technology end-to-end; from data pipelines, to statistical modeling and analysis, machine learning algorithms, visualization and multivariate testing
Communicate findings to key stakeholders and guide them in making data-driven decisions
Build data products
Write code to process, munge and clean messy data including user-level data, content, text, financial data, transaction logs
Build statistical models to analyze the data, and find meaning and insights
Design and analyze experiments
Pro-active sanity checking and debugging of data and logs
Document analysis and process via code and shared documentation
Build machine learning algorithms that serve as the basis of a revenue optimization engine
Build tools and apps for executives, journalists and editors that help them use data to do their jobs
Build dashboards as well as bespoke, custom analysis
Participate in team stand-ups, meetings and brainstorming activities
Ensure data and analysis is available to the relevant areas of the businesses and teams in an actionable and usable way
Work with business stakeholders to help make data-driven decisions
Work with newsroom editors and journalists to help make data-driven decisions, and opportunities to embed as part of investigative journalism teams
Scope and define business problems. Translate business problems to data problems and solve
Prepare written reports and presentations for internal and external audiences
Contribute to a culture of collaboration and transparency
PhD or Masters Degree in Computer Science, Statistics, Machine Learning, Mathematics, Physics (or another quantitative discipline)
Experience in data analysis and problem solving with large amounts of diverse data
Expert level in at least one of machine learning algorithms, statistics, visualization, data engineering, natural language processing
Read and write code. R, Python, D3
Ability to think creatively to solve complex problems
Ability to autonomously manage simultaneous projects in a fast paced business environment
Ability to work independently and collaborate across multiple teams
Knowledge of relational databases and methods for efficient data retrieval
Basic fluency in SQL, BigQuery or equivalent technology; knowledge of relational databases and methods for efficiently retrieving data
Must have strong verbal and written communication skills. Ability to communicate the results of analyses in a clear and effective manner
Data visualization and design skills a plus
Demonstrate interest in and deep understanding of core business problems and challenges unique to the journalism and media industry
Ability to take initiative and identify problems that needs to be solved; be proactive about trying to find solutions
Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset to solve analytical problems
Demonstrates curiosity, humility and ability to continually ask questions
Willingness to mentor and teach others
Interested in creating a culture around data, collaboration and creativity
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Data Scientist Resume Examples & Samples

Apply advanced statistical/econometric modeling tools to develop robust predictive models and support sales and marketing campaigns in acquisition, retention and cross-selling
Work with databases and other internal data platforms to extract customer information and profile customer behavior to support various strategic sales analytics initiatives
Design sound tests using the method of experimental design to maximize understanding of financial advisor behavior
Perform ad-hoc analysis as business requires
Generate innovative sales lead signals to aid the selling process and work with business partners to implement the solutions
Master’s degree with 3-4 years of relevant experience OR Ph.D. with 1-2 years of relevant experience strongly preferred. Degree in quantitative fields such as statistics, economics, engineering, mathematics, computer science preferred
Fluency with at least one scripting language such as Python, PHP, etc
Expert knowledge of an analysis tool such as R or Matlab
Experience with data manipulation and analysis using SQL
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Ability to work under pressure and take ownership of issues

Data Scientist Resume Examples & Samples

Use statistical techniques to create scalable solutions for real business problems
Deliver a data platform that allows business users to ask the questions needed to make the right business decisions
Leads independent efforts within technical area, applying in-depth knowledge of multiple technologies
Suggest improvements to the tools and techniques to help scale the team
Provide leadership, guidance and develops technical capabilities across the team
Perform data visualization and presentation
Translate outcomes into business opportunities
M.S. in a relevant field, such as Applied Math, Statistics, Computer Science, Physics, Economics, Electrical Engineering, or Bioinformatics
1 or more years of relevant work experience
Possesses excellent numeracy and understanding of advanced analytical techniques including
Human Computer Interaction
Optimization techniques
Previous experience working with data structures and databases in structured & unstructured environments
FInancial Services industry experience strongly preferred
Versed in data technologies such as Hadoop, MapReduce, PIG, HIVE, Python, noSQL, MongoDB, Oracle Exalytics and visualization tools such as D3, Tableau etc
Working knowledge in statistical analysis packages, such as SAS, R, RAT, SPSS, etc
Required Licenses/Certifications: Published or keen on publishing in key conferences in the above areas (e.g. CHI, CSCW, CIKM, RecSys, UMAP, AAAI etc.)
Recommended and filtering systems
Decision making automation
Social Network analysis
Machine learning
Predictive analytics
Segmentation creation
Experimental design
Neural networks
Data mining
Superior communication and presentation skills, both written and oral
Excellent relationship building and interpersonal skills

Data Scientist Resume Examples & Samples

Experience with a range of big data architectures, including OpenStack, Hadoop, Pig, Hive or other big data frameworks
Strong foundational knowledge and experience with distributed systems and computing systems in general
Strong SQL/RDBMS experience
Strong proven communication skills including the ability to convey complex issues to senior managers in a simple and straight forward manner
Broad understanding and experience of real-time analytics, NoSQL data stores (specially Graph Databases), data modeling and data management, analytical tools, languages, or libraries (e.g. SAS, SPSS, R, Mahout)
Advanced degree or advanced research in Machine Learning, Data Mining, Operations Research, Applied Mathematics, EE, CS, or Computer Engineering

Data Scientist Resume Examples & Samples

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Proactively create reports and graphs that may be useful and provide insights resulting from various experiments
Work closely with management to prioritize business and information needs
Import, clean, transform, validate or model data with the purpose of understanding or making conclusions from the data for decision making purposes
Use statistical tools like Microsoft Excel, SAS, SPSS and others to improve data quality and for designing or presenting conclusions gained from analyzing data
Work with data providers to extract data relevant for analysis
Work on multiple projects simultaneously
Has a minimum 7 years of experience as a data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge and experience with a project lifecycle and delivery
Adept at queries, report writing and presenting findings
BS in Mathematics, Economics, Computer Science, Information Management or Statistics preferred
Ability to interact effectively with different business units, team members, and external client at all levels
Exceptional verbal, written and communication skills
High tolerance for ambiguity matched with desire to organize it
Experience in the development of business reports
Strong time management and or multitasking ability
Extreme attention to detail
Experience in workflow analysis and documentation
Ability to consult with others in the process
Ability to think and act strategically for long-term results
Ability to work independently and make decisions

Data Scientist Resume Examples & Samples

Frame and conduct ad hoc statistical analyses with sales data in a way that can be quickly updated
Design and implement eBook price experiments to determine the price elasticity of demand across relevant segments and genres
Circulate to senior management and other stakeholders regular sales reports and pricing actions
Work closely with the sales and marketing departments to use data to drive eBook promotional activities
Work closely with the data warehouse group to ensure that the data within the reporting suite is sufficient to perform these tasks
Extremely strong analytical skills
Knowledge of relevant software packages
5-10 years of work experience conducting data-driven analyses
Publishing experience a plus
Bachelor’s degree in a quantitative field (e.g., economics, econometrics, statistics, finance, the sciences) required. Advanced degree a plus

Data Scientist Resume Examples & Samples

Execute analytical projects as an individual contributor
Identify, Diagnose and Resolve predictive / analytical model performance issues. Monitor predictive / analytical system performance and implement efficiency improvements
4+ years of working in large and medium project teams, as a contributing member in self-directed roles
Strong understanding of predictive / analytical modeling techniques, theories, principles, and practices. Specific experience in more than one of: machine learning, statistical modeling, graph modeling and text mining techniques
Intensive, recent experience in assessing data needs for specifics analysis projects
Ability to conduct research into predictive / analytical modeling issues, practices, and products as required
Familiarity with parallelization of algorithms over grid architectures
Knowledge of Hadoop and MAPReduce, as well as similar technologies preferred
Strong background on designing algorithmic solution to business problems; knowledge of algorithms related to Big Data projects is a plus
Knowledge of SQL and expertise in at least one dialect: MySQL, SQLLite, Postgres SQL, MS Server SQL, etc
4 years experience coding on one of Java, Python, R, SAS, C or C++

Data Scientist Resume Examples & Samples

Application (30mins): On your application we'll ask for information like your contact details, education and work experience. You’ll also be required to upload a CV, so it's a good idea to have it ready
Online Assessments (60mins): We'll then ask you to complete three online assessments. You’ll also receive an email with a link to the assessments so that you can complete them when it suits you best. Our assessments are carefully designed to measure the skills and capabilities necessary to be successful in our roles, but they'll also provide you with some insight into what our roles entail
Interview: If you’re successful at assessment we'll invite you to attend a face-to-face interview. We want you to be free to choose an interview time that suits you, so we'll provide some options and ask you to select your preferred timeslot via an online booking system
Outcome: Following your interview, we'll be in touch within five working days to advise you of the outcome

Data Scientist Resume Examples & Samples

MS or PhD (or equivalent work experience) in computer science, machine learning, statistics, or engineering
Prior work or research projects using applied machine learning or statistical modeling
Experience handling with large data sets (GB-TB scale)
2+ years experience with open source statistical programming languages (i.e. R, sklearn)
2+ years experience with scripting languages for data engineering and cleaning (i.e. python, ruby)
Experience with command line tools, relational databases (i.e. SQL), data visualization, and version control (i.e. git)
Implementation and knowledge of algorithms spanning clustering, regression, classification, mixture models, graphical models, Bayesian statistics, and probabilistic modeling
(bonus) Distributed computing experience (i.e. MapReduce, Hadoop)
Extremely strong BS candidates from top programs may be considered
Gather, clean, and reformat data
Feature engineering and extraction
Implement and iterate learning models
Visualize and present findings to the business, strategy, product, and newsroom
Work with engineering teams to productionalize prototypes

Data Scientist Resume Examples & Samples

Initiate and propose unique and promising projects involving new and innovative algorithms, pursuing patents where appropriate
Dig through our petabytes of data to develop insights that can be used to devise new solutions to a broad array of optimization and machine learning problems
Lead small teams of analysts, software engineers and junior data scientists working together on a focused problem area
Stay current on published state-of-the-art algorithms and emerging technologies
Great oral and written communication and presentation skills
Ability to communicate complex ideas to a non-technical audience
Experience leading teams of 2 to 3 analysts, scientists and engineers working on data science problems and products
Experience working within an agile product development team
Masters or PhD Degree in Statistics, Engineering, Computer Science, Operations Research or similar fields with an emphasis on machine learning and a strong background in computer science
Experience in one or more of the following areas is a plus: markets, auctions, advertising

Data Scientist Resume Examples & Samples

Support the analytic needs by analyzing web traffic using clickstream tools
Data Collection: Defining the tags, Tagging the application with engineers, Identifying measurement metrics and validating tag implementation, Coordinating tags, tracking parameter implementations
Data Analysis: Website/Mobile Apps behavior and customer experience analysis, Data consolidation and validation, Develop Hypothesis and help formulate tests (A/B, MVT)
Query data from several sources (structured and unstructured) and analyze to understand customer behavior and its impact on performance (engagement, profit and revenue)
Build data products to solve for Omni-channel customer experience challenges
BS/BA degree in Computer Science, Mathematics, Statistics, Econometrics or equivalent quantitative education and experience required (advanced degree required)
Extensive programming skills in the Hadoop environment (Map/Reduce, Pig, Hive, HBase, Mahout, SQL, Scripting)
3+ years hands on clickstream tools experience such as Coremetrics, Google Analytics, ClickTracks, or Omniture etc
Fluency with statistical and machine learning algorithms such as decision trees, neural networks, collaborative filtering, clustering, survival analysis, graph theory, etc
Knowledge of analysis tools such as Python, SAS, R, or Matlab
Experience in retail, ecommerce, or digital advertising a plus

Data Scientist Resume Examples & Samples

Communicate effectively with statisticians and non-statisticians
Experience in handling and preparing large real world datasets
Profound understanding of Big Data Technology Concepts and associated Products
Knowledge of database design, applications and data flows preferred

Data Scientist Resume Examples & Samples

Design lean proofs of concepts (POC) to answer targeted business questions. Explore and work with a wide range of proprietary, interesting data stores. Apply existing methods or develop new methods. Be creative!
Engage in data analysis in a practical way. Convince business leaders that your results are worth investing in. Be innovative!
Collaborate with Bloomberg's advanced visualization team. Be colorful!
Educate other analysts and business team members. Be generous!
Experience with mapping business needs to a data science solution
Substantial experience with the use of relational databases for data storage
Experience using SQL for data extraction and management (MSSQL, Oracle, MySQL)

Data Scientist Resume Examples & Samples

Analyze consumer web, demographic, behavioral, and transactional data in support of strategic initiatives, from very large datasets (both structured and unstructured). Project work will cover all phases – assessment, planning, documentation, data acquisition, profiling, presentation of findings and recommendations, etc
Work with management and organizational peers to improve business results, by applying analytic findings to ongoing business activities
Conduct exploratory analysis against consumer data to surface interesting and valuable insights
Stay current on relevant academic and industry research to identify best-in-class algorithms, techniques, libraries, etc
Interpret results and communicate actionable insights that can translate into improved performance
Partner with team members to evolve existing capabilities
Independently mine consumer data from multiple internal or external sources
Perform ad hoc analytic tasks and reporting as needed
Exceptional quantitative analytical skills
Expertise with Python, R and SQL. Capability with other data analysis languages/analytic platforms helpful – such as SAS, Hadoop, MongoDB, MySQL
Expertise with applied statistics including regression, clustering, machine learning, CHAID, and other techniques appropriate for large scale analysis of numeric and text data
Experience with web analytics/Omniture a plus
Comfortability working with messy/unrelated datasets, and uniting them into actionable findings/recommendations, through the creation of compelling and intuitive visualizations
Two or more years of business/marketing analytics experience, preferably in a consumer-based media organization
Exceptional communication skills, particularly in communicating and visualizing quantitative findings in a compelling and actionable manner for management
Strong set of professional skills: attention to detail; analytic, logical and creative problem solving; critical thinking; ability to work independently and within a cross-functional team
Bachelor's degree with an emphasis in a quantitative discipline such as statistics, engineering, economics or mathematics. Master's or MBA preferred

Data Scientist Resume Examples & Samples

Work with internal technical operations and risk teams to define problems, data collection, synthesize relevant data, build analytical models and forecasts
Combine data and business principles to recommend solutions for large infrastructure problems
Capture requirements, translate customer problems into predictive analytics, clearly communicate results in both written and oral presentations, demonstrate predictive analytics capabilities and solutions to prospective clients
Gather, analyze, and normalize relevant information related to business processes, functions, and operations to evaluate data credibility and determine relevance and meaning
Plays a dual role of a data scientist and application developer
Knowledge of Business Intelligence tools (Business Objects, QlikView, Splunk)
Minimum 5 years’ experience and a successful track record of technical leadership across a wide range of technologies including but not limited to

Data Scientist Resume Examples & Samples

Develop strategies as necessary to support the business in achieving/beating financial targets (eg. ranging up-to £30M for Fraud cards portfolios)
Work seamlessly with Business or Function teams to deliver initiatives and targets agreed with the business
Design and implement analytically based solutions to understand business trends and generate long-term, sustainable value
Development, implementation, maintenance and testing of strategies and new tools that lead to improved business performance, improved customer/client/colleague experience and improved profitability
Identify need for new/ updated tools and champion the integration into strategies. Work with business and technology as required to commission tool development projects
Consistently deliver champion-challenger performance tracking, and key productivity reporting. Communication of performance and proposing appropriate recommendations to senior management

Data Scientist Resume Examples & Samples

Reframe newsroom audience development objectives as machine learning tasks that can deliver actionable insights and accurate predictions
Execute machine learning research with reliability and reproducibility
Communicate results and impact to newsroom stakeholders
Educate stakeholders and communicate the benefits of machine learning at The Times
PhD or 4+ years experience in computer science, computational statistics, applied mathematics, or other quantitative/computational discipline
2+ years experience with scripting languages (e.g., Python, Ruby, Perl,Bash)
Preferred: experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading). Familiarity with MapReduce or Elastic MapReduce a plus
Eagerness to collaborate with both technical and non-technical colleagues in editorial, product management, marketing, and executive leadership groups
Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
Desire to join the world's most important journalism company at a moment in history when the importance of learning from our data is transforming every aspect of the craft and practice of journalism

Data Scientist Resume Examples & Samples

15+ years of experience with developing software in Java or C
15+ years of experience with C++ or other high level languages
3 years of experience with developing software for UNIX or Linux, including Redhat, CentOS, or Ubuntu
Experience with MapReduce programming with Apache Hadoop, Hadoop Distributed File System (HDFS), processing large data stores, and DataWave
Experience with the design and development of at multiple object-oriented systems
Experience with developing solutions and integrating and extending Free and Open-Source Software (FOSS) or COTS products
BS degree in Statistics, Mathematics, Physics, or CS
Experience with open source software, including GeoWave and MapReduce Geo (MrGEO)
Experience with real-time large scale data processing engine, including Apache Spark

Data Scientist Resume Examples & Samples

2 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and Natural Language Processing
1 year of experience with programming in an object-oriented programming language, including Java or Python
Experience in working with massive data sets, including structured and structured with at least 1 prior engagement involving data gathering, data cleaning, data munging, and data visualization
Ability to show a proven track record of weaving data and analysis into a compelling format that is client- and solutions-driven and easily digestible resulting in client approval
Ability to obtain a security clearance
Experience with an object-oriented programming language, including Java or Python
Experience with articulating the overall story derived from data and analysis and explaining complex analyses and themes to non-technical and technical audiences
Knowledge of advanced data analytic techniques, including data mining, machine learning, statistical analysis, and Natural Language Processing
Ability to show a track record of solving large, complex problems
BA or BS degree in Statistics, Mathematics, Operations Research, EE, CS, or related fields preferred; MS degree in Statistics, Mathematics, Operations Research, or related fields a plus

Data Scientist Resume Examples & Samples

Experience with various data formats, structures, and standards
Experience with the review and management of data, databases, and data services
Ability to interpret rich data sources, manage large amounts of data, merge data sources together, ensure consistency of data-sets, and present and communicate the data insights and findings
BA or BS degree in Business, Statistics, Mathematics, or CS and 11+ years of experience with data analytics or science
Experience with advanced analytics, data manipulation, and at creating transformational exploitation methodologies-Experience with data manipulation and processing that can flesh out new methods of advanced analytics to support activity based intelligence-Experience with using multiple analytic techniques to analyze data, including predictive modeling, statistical modeling, summary statistics, various regression techniques, ANOVA, factor analysis, discriminant analysis, k-clustering, k-means clustering, classification trees, cluster analysis, neural networks, and hypothesis testing
Experience with advanced mathematics and statistical software, including SAS, SPSS, and R
Possession of excellence oral and written communication skills
MA or MS degree in Business, Statistics, Mathematics, or CS and 9 years of experience with data analytics or science

Data Scientist Resume Examples & Samples

Experience with advanced statistical or mathematical algorithms and techniques, including regression, classification, clustering, time series, graph-based methods, optimization, and simulation
Experience with programming or scripting languages, including Python, Ruby or Java
Experience with statistical analysis software, including SAS, R, or similar
Ability to manipulate, integrate, and analyze large and complex data sets
Experience in working with advanced techniques to analyze unstructured data, including machine learning, text mining, and natural language processing
Possession of excellent oral and written communication skills to explain technical concepts and solutions to clients and internal teams
MA or MS degree in CS, Statistics, Mathematics, Physics, Engineering, Economics, Operations Research, or a related field

Data Scientist Resume Examples & Samples

To assist the NewLexis team in managing the creation and support of new content and enhancement of existing content across the UK online portfolio. To help create and advise on a NewLexis content style guide and help to roll this out across UK content. To provide editorial support to new products and facilitate the necessary content amendments within the required deadlines. To learn and utilize editorial systems in the most effective manner to ensure content is modernized and optimized for online usage
To support the NewLexis team effectively in the delivery of new content initiatives
Working on the enhancement of UK content, using strong communication skills, with Publishers, Editors, Authors and NewLexis Content leads. ]
Managing the flow of content using spreadsheets and content management systems
Working with QA teams to offer feedback to large teams of freelance and offshore editors
Working on the creation of a new online style guide to be applied to all UK online content
Working on rolling out this style guide over a subset of UK content to optimize it for online exposure
Facilitating an easy and efficient flow of content to deliver further practice areas as the business requires
Editorial duties
Thorough review of content for sense and conformity to new style guide
Liaison with several teams throughout the business including PSLs, Editorial, Fabrication and Content Developers to encourage best practice across the team
Publishing activities - including publishing from internal content systems, checking content in checkout, promoting from checkout
Aiding in the creation of new content eg mini summaries, new headings etc
Trouble-shooting and error resolution throughout the process
Editorial support to the NewLexis team
Testing of enhancements to editorial systems
Reports up to Managing Editor on progress and risks/issues
Using additional editorial tools to support content delivery
Product testing, as required
Basic analytical tasks as requested
Works in an area of some complexity and uses professional knowledge to deliver results
A proven interest in continuous improvement and an online focus
Understanding of own function and how it contributes to achieving the objectives of the business and a general understanding of other functions
The role holder may provide technical guidance to others
Will have ability to prioritise own workload to meet deadlines
Will be pro-active in assisting the business to highlight potential problems before they arise. When faced with more complex problems, the role holder will make suggestions and discuss these with team members and more senior colleagues to develop solutions
Experience of legal subject matter and legal document creation processes desirable but not essential
Interest in legal change and issues affecting the industry desirable
Law degree or legal qualification desirable but not essential

Data Scientist Resume Examples & Samples

7+ years of experience with designing and implementing machine learning, data mining, statistics, or graph algorithms
Experience with programming with an object-oriented language, including Java, C++, C#, or Python
Experience with working with NoSQL or column oriented distributed databases
Knowledge of Hadoop, MapReduce, and HDFS
BA or BS degree in a quantitative discipline, including Statistics, Machine Learning, Data Mining, Operations Research, EE, or Computer Engineering; MA or MS degree in a quantitative discipline

Data Scientist Resume Examples & Samples

5+ years of experience with designing and implementing machine learning, data mining, statistics, or graph algorithms
Experience with analytics at the advanced level and with Cloud computing technologies to play a key role in project work, capability building, and business development
Experience with NoSQL or column oriented distributed databases
BA or BS degree in a quantitative discipline, including Statistics, Machine Learning, Data Mining, Operations Research, EE, or Computer Engineering; MA or MS degree in a quantitative discipline, including EE or Computer Engineering

Data Scientist Resume Examples & Samples

Deliver project assignments on time, within budget and with high quality
Strong SQL, Data Modeling and DB skills
Experience with UML modeling, Agile and/or RUP methodologies
Able to effectively communicate across teams and roles
Ability and desire to thrive in a proactive, high-pressure, client-services, environment

Data Scientist Resume Examples & Samples

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how to effectively measure and understand the mobile ecosystem
Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior
Develop best practices for data collection and experimentation, and communicate those to product engineering teams
Create new algorithms to mine Facebook's massive amounts of data Inform, influence, support, and execute data analysis projects used throughout Facebook to drive product decisions
Mine massive amounts of data, extract useful product insights and build visualizations to clarify conclusions shared widely across the company
Explore new technologies, innovative instrumentation and data collection to develop unique data sources and utilize them
3+ years of experience with machine learning and big data, preferably within the web or mobile app industries
M.S., or Ph.D. in Computer Science or related field. Advanced degrees preferred but not required
Experience with large data sets and distributed computing (Hive/Hadoop)
Excellent understanding of machine learning techniques (classification, clustering, dimensionality reduction, etc.)
Experience with network-based data (TCP, HTTP, etc.) a plus
Knowledge of relational databases and query languages such as SQL
Experience with data analysis using packages such as R or Python as a user of scientific libraries (numpy, scipy, pandas, scikit-learn, etc.), or equivalents in Scala, C++, etc

Data Scientist Resume Examples & Samples

Scouting of novel technologies related to distributed architectures
Technology and business model evaluation for automotive applicability
Ideation, prototyping and creation of intellectual property
Project and process documentation for successful project transfer to the development department
Implementation of technology solutions into test vehicles for validation
Management of interdisciplinary teams on individual projects
Mentorship of incoming employees / interns
Supervision of research teams / projects at partner research institutions
Coordination of collaboration efforts with potential VW Group project partners
Active shaping and realization of the VW Group's vision for connected vehicles
Preparation and communication of results to other Volkswagen Group teams and management
Active engagement of project customers within the Volkswagen Group, creation of project proposals and management of project timelines, budget and deliverables
Identification and evaluation of as well as communication with potential supplier companies
Strengthen the VW Group's technical competence by participating in technical conferences and seminars
Secure intellectual property portfolio covering network and standards based computing for vehicle systems,
With applications and algorithms
Concept in-vehicle functional prototypes of embedded systems and speech recognition algorithms
Technical specifications, system-level architecture and documentation for transfer to VW Group series
Evaluated computing architectures, tools and algorithms
Established business contacts to key industry and academic partners
Creativity in generating and demonstrating new technology concepts for VW Group vehicles
Successful transfer of technology concepts into series production
Willingness to support others and the organization as an active team player
Analytical and conceptual thinking – using logic and reason, creative and strategic
Communication skills – interpersonal, presentation and written
Computer savvy – skilled in the use of software
Integration – joining people, processes or systems
Influencing and negotiation skills
Resource management
Experience in a collaborative and interdisciplinary research environment
Ability to rapidly validate and test ideas in prototype form, including experience with creation of customer-facing interfaces, and experience in running
Unix / real-time operating system and database management experience is a plus
Experience with large scale distributed programming paradigms like Hadoop
Master's degree in Computer Science or an equivalent education
PhD in Computer Science or an equivalent education
1-3 years desired

Data Scientist Resume Examples & Samples

Own complete development and designing of the algorithms and frameworks involved in the same
Machine learning: Research and implement data mining and machine learning algorithms
Conceptual modeling: To be able to share and articulate modeling
Statistical analysis: To understand and work around possible limitations in models
Predictive modeling: Use R, Mahout, Vowel Wabbit towards being able to predict future outcomes
Hypothesis testing: Being able to develop hypothesis and test them with careful experiments
Develop extensible, scalable, reliable software for high volume, real-time data processing
B.Tech/M.Tech/PHD in computer science/ statistics/mathematics with in-depth knowledge in data mining / machine learning / artificial intelligence / operational research with 2+ years of hands-on experience in this fields
Able to program, preferably in different programming languages such as Python, R, Java, Ruby, Pig or SQL
Need to have an understanding of Hadoop, Hive and/or MapReduce
Being able to advice senior management in clear language about the implications of their work for the organisation
Good communication skills and enthusiasm to learn new technologies

Data Scientist Resume Examples & Samples

Predictive modeling: Use any of the tools R, Mahout, Vowel Wabbit , Spark towards being able to predict future outcomes
3+ years of hands-on experience with in-depth knowledge in data mining / machine learning / artificial intelligence / operational research
Able to program, preferably in different programming languages such asPython, R, Java, Ruby, Pig or SQL
B.Tech/M.Tech/PHD in computer science/ statistics/mathematics

Data Scientist Resume Examples & Samples

Analyze peta-byte scale ad and data to deliver insightful analytics that solve key client business problems
Question existing assumptions and processes
Communicate informed conclusions and recommendations across an organization’s leadership structure
Strong mathematical and statistical background (modeling, statistics, analytics, math)
M.S. or Ph.D. in a relevant data science or operations research field or 5+ years relevant experience
Fluent in statistical analysis, data mining, and machine language
Experience with HADOOP, Map/Reduce and PIG
Ability to communicate with business and IT leaders in a way that can influence how an organization approaches business
Experience in data engineering, pattern recognition and learning, advanced computing, uncertainty modeling, data warehousing, high performance computing, business analytics

Data Scientist Resume Examples & Samples

Contribute to the development of our data pipelines by implementing novel algorithms for retrieving, analyzing and visualizing data
Apply statistical analysis on vehicle data to drive decision making in reliability
Extract useful statistics and usage profiles from the existing fielded fleet in order to drive accurate design requirements for next generation vehicles
Create visualization methods to communicate data in a meaningful and actionable manner
Apply machine learning algorithms to predict degradation trends and create predictive maintenance schemes for the vehicle fleet
Advanced knowledge of SQL, and NoSQL databases (MongoDB)
Advanced knowledge of Python. Working knowledge of pandas, scipy, numpy, IPython
Proven ability in developing predictive models and implementing data pipelines
Deep knowledge of applied statistics including complex multivariate statistical analysis, Bayesian statistics, Time Series analysis
Experience and interest in data visualization techniques. Ability to convey complex analyses with the most efficient and intuitive visual methods and the ability to effectively communicate findings
Working knowledge of Hadoop ecosystem, in particular one of more of the following: Hive, Spark, Impala
Experience in machine learning algorithm development. Working knowledge of scikit-learn, statsmodels and other machine learning/ statistics/ data mining packages
Knowledge of Tableau Desktop and Tableau publishing methods
Experience with reliability analytical methods (e.g. Weibull analysis, reliability growth analysis, reliability block diagrams etc.)

Data Scientist Resume Examples & Samples

The heart of this role is researching and developing algorithms based on methods of Machine Learning and Statistics to analyze and provide actionable insights from data. You should be self-sufficient in the ability to retrieve the data from company datastores, cleanse it and process it into a format useful to you and iterate over different analysis approaches and algorithms resulting in a working code prototype. You will then work with our engineers to develop those prototypes into efficient and scalable solutions, processing data on a large scale in an automated manner, feeding the results back into our systems
You will work with Product to both understand the needs of our clients and the actionable insights they seek to make business decisions, as well as provide your own ideas of what new questions can our data give answers to
You will work with our Engineers responsible for the heavy lifting of collecting and processing the data on which our analyses rely and obtain a deep understanding of what data is collected and how is it structured, what information it provides as well as how may it be biased or incomplete
You will be expected to communicate with the company and our clients, explaining complex methodologies in clear terms and what actionable business insights do our algorithms provide
M.Sc. or Ph.d in a quantitative discipline such as Computer Science, Bioinformatics or Statistics (Exceptional candidates with a B.Sc. will be considered)
The ability and desire to be constantly learning, both new technologies and new algorithmic approaches

Data Scientist Resume Examples & Samples

Develop content classifiers that leverage rules based models, and machine learning,
Scope and define product requirements,
Optimize machine learning algorithms to exploit modern hardware,
Predict and analyze evolving user behaviors
Excellent communication skills, both written and verbal,
Excellent knowledge of Java or C++,
Experience implementing machine learning algorithms in a production environment
Experience mining information from enormous datasets (e.g. Hadoop/Hive/Pig/MapReduce),
Experience executing in an agile environment,

Data Scientist Resume Examples & Samples

Build and execute analytics and reporting across platforms to identify user behavior and analyze trends, patterns, and shifts in user behavior, both independently and in collaboration with product managers and data analytics resources
Develop best practices for configuring analytics technology, for analyzing user behavior on multiple platforms, and for collecting and interpreting data from multiple sources
Develop experimental data models/ designs to help answer unforeseen questions that will influence decision-making in a rapidly changing business environment
Communicate technical results to a wide variety of audiences
Bachelor's degree in a quantitative field (e.g., Mathematical, Statistics etc.)
Strong background in statistics
Experience creating models/analysis using machine learning techniques like clustering, association rules, sequential pattern matching etc
Experience in data integration and modeling is required
3 plus years of experience in digital analytics with a solid understanding of interactive marketing channels (e.g., search, social listening, paid and earned media, website, mobile apps, email marketing, mobile messaging)
Proficient in Omniture site catalyst reporting, Google Analytics, Flurry and social media platforms in addition to Nielsen data etc
Demonstrated ability to query data sources directly (SQL and other query languages)
Proven ability to use R (or another statistical package)
Expertise in crafting presentations for specific or broad audiences
Experience working with big data technologies is a plus
Experience in text mining is a plus

Data Scientist Resume Examples & Samples

Explore and analyze large medical databases: medical claims, hospital discharges and/or real-time EMR data feeds
Research and define variables for analysis and prediction of medical risks
Support daily production tasks that require scientists involvement
Conduct QA of models’ outcomes and monitor model performance regularly
Enhance existing predictive models and analytics; and develop new ones
Develop, implement and validate new predictive modeling algorithms and applications
Build predictive models and complete various analytical projects
Provide consultation, training and analysis to clients, account management and sales; deliver sales presentations and product demonstrations as needed
Provide critical guidance for the development and implementation of models and analytics products
Suggest/build software tools to streamline the building of models and other analytics
Master's degree required, Ph.D. degree preferred, in quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, etc
Excellent knowledge and thorough understanding of some of the following statistical techniques and machine learning algorithms: linear and nonlinear regression, logistic regression, classification, cluster analysis, hypothesis testing, decision trees, CART, CHAID, neural nets, SVM, etc
Strong proficiency in SAS, R, or other statistical packages
Coursework and experience in numerical computing and mathematical software
Experience working in/with large insurance plan and/or clinical setting

Data Scientist Resume Examples & Samples

Strong in statistical and analytical skills
Strong in problem solving skills
High level of independence and initiative proven track records of driving changes & solutions
Being able to advise senior management in clear language about the implications of their work for the organization

Data Scientist Resume Examples & Samples

MS in Electrical/Computer Engineering, Computer Science, Applied Mathematics or a relevant science/engineering discipline
Development of features based on client input and domain research
Minimum 4 years of experience in the development of commercial machine learning solutions and/or the design and implementation of analytic algorithms
PhD in Electrical/Computer Engineering, Computer Science, Applied Mathematics or a relevant science/engineering discipline
2+ years of experience with the development and delivery of client-facing Big Data solutions, preferably in the areas of education, healthcare or fraud analytics
2+ years of experience in functional and object-oriented programming (e.g., C++, Java, C#, etc.)
1+ years of experience with the design and implementation of graph algorithms, preferably in a distributed environment

Data Scientist Resume Examples & Samples

Conducts sophisticated data mining analyses and build data mining models, as required, as part of the initial solution development
Translates data mining results into clear business focused deliverables for decision makers
Works with Application Developers to deploy data mining models into operational systems
Defines and recommends best practices for applying data mining to problem domain
Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes
Responsible for verifying and implementing the detailed technical design solution to the problem as identified by the
8+ years of professional experience and a Master of Arts/ Science or equivalent degree in computer science or related area of study; without a Masters degree, three additional years of relevant professional experience (11+ years in total)
> 3 years of experience in analytic application/solution development. Refers to the implementation of repeatable analytic solutions which encompass all phases of the software development cycle. Beyond model development
Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit
>3 years use of R, SAS Enterprise Miner or SPSS Clementine for data mining and statistical analysis
Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining
Expert use of SQL and experience with relational databases
Has sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies
Has demonstrated innovation and communication of new deliverables and offerings. Has led team in the delivery of multiple deliverables across multiple technologies
Ability to develop solutions that enhance the availability, performance, maintainability and agility of a particular customer's enterprise
Has contributed to the design and application of new tools. Ability to re-use existing experience to develop new solutions to take to market
Possesses an understanding, at a detailed level, of architectural dependencies of technologies in use in the customer's analytic environment
Frequently uses product and application knowledge along with internals or architectural knowledge to develop solutions
A recognized expert in one or more technologies within own technical community and also at regional level. Holds a vendor or industry certification in at least one discipline area
Able to communicate with internal and external senior management confidently and demonstrate the professionalism of the job family
Ability to work in a multi technology environment with the ability to diagnose complex technical problems to their root cause. In addition to troubleshooting skills and consulting skills, has ability to summaries prognosis and impact at practice lead level
Ability to adapt a consulting style appropriate to the situation and can identify up-sell opportunities
Be able to demonstrate a broad understanding of market dynamics, an industry area, commercial issues, and technical concerns whilst maintaining depth in core focus area
Ability to present within own area of expertise as part of a customer sales presentation, putting forward domain specific information within the context of an HP sales campaign
Has demonstrated ability to lead others in the gathering of requirements, designs, plans and estimates
Able to produce complete proposals for smaller engagements within own area of expertise
Demonstrates broad knowledge in other technical areas in order to properly manage complex integration efforts
Demonstrates application of technical expertise in successful engagements involving multiple disciplines
Able to independently complete solution implementation or application design deliverables

Data Scientist Resume Examples & Samples

Understanding and developing analytics project objectives from client business perspectives
Formulating these objectives into an analytics problem statement
Exploring and understanding data
Strong analytical thinking, technical analysis, operations research and data visualization/manipulation skills
Ability to learn and draw on new analytical techniques
Demonstrated business acumen and technical knowledge within area of responsibility
Has sufficient depth and breadth of technical knowledge to be individually responsible for the implementation of a specific deliverable. Able to contribute to the design for deliverables
Has ability to perform/drive resolution of problems on individual products
Able to communicate broad and specific concepts with team and to peers
Able to produce documentation for use by team and customer

Data Scientist Resume Examples & Samples

Excellent communication and business client presentation skills
Thrives on collaboration
Ready to drive solution when the team is counting on your expertise
On a mission to identify opportunities to optimize, expand or transform the world through the lens of information
The discipline of a scientist in problem solving
Combination of data analytics techniques and algorithms to create innovative solutions
An obsession for information, solving insurmountable problems and finding unique ways to accelerate our go to market delivery services business
10 years experience in commercial or public sector. Advanced Educational degree preferred
BS in Computer Science, Engineering or Statistics
5 plus years of experience
Extensive experience solving Big Data analytic problems using quantitative approaches and a proven passion for generating insights from data
Experience in manipulating and analyzing complex, high-volume (large data sets), high-dimensionality data from varying sources
Present as part of customer sales presentations, putting forward Big Data domain specific information within the context of HP sales campaign
Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics
Experience with Statistical modeling and data scoring a plus
Advanced research in machine learning and data analytics. Also design and develop data model prototypes for customer proof of concept
Experience with ETL tools like Talend, Pentaho, Informatica
Exposure to databases such Hadoop, Greenplum, Netezza, AsterData, Paracel, Exadata a plus
Experience integrating with enterprise BI platforms such as Spotfire, Tableau, QlikView, MicroStrategy, Business Objects, Cognos, etc…
Experience developing custom database functions (user defined functions) using Java,C++ and /or R Master or Phd in Computer Science, Engineering or Statistics
Vertica Certification from Vertica

Data Scientist Resume Examples & Samples

Work on big data analytics platform research and development
Collaborate with R&D team in ASTRI-HP Information Technology Research Centre, Hong Kong
Collaborate with business partners to understand use cases, and utilize advanced data analytical approaches to solve difficult and emerging business challenges
Data Scientist will design and implement efficient algorithms, as well as proof-of-concept pilot systems for large scale data analytics
Data Scientist will work closely with software/system engineers for developing innovative solutions that will eventually be used in production

Data Scientist Resume Examples & Samples

Needs to be familiar with recommendation algorithms and recommendation engines and systems. We will be starting simple with Collaborative Filtering, Content Filtering, Shortest Path, Least Cost (A*) Dijkstra’s, etc. but will probably move up to more complicated and hybrids (i.e. Bayesian Beliefs, Clustering, Pearson, Markov Chains, etc) as we move forward
Most important skill is to understand what algorithms are appropriate in commerce and knowledge based use cases and application in a systematic context. So, would be very nice to have some experience in implementations within ecommerce scenario and knowledge based systems for optimized and predictive support
Some experience/knowledge in software develop methodology, portals and computer system programming languages (Java, Ruby, Scala, C, etc.)
Combination of theoretical and/or practical experience across graph databases, recommendation tools such as EasyRec , Apache Mahout, etc. and data mining and machine learning theory and tools i.e. Hadoop/ Map, Hive and PIG and HBASE to emerging technologies in this space like Milk, ShoGun

Data Scientist Resume Examples & Samples

Design, develop, and implement machine learning and BI algorithms to generate actionable insights from exceedingly large data sets
Work with team members to integrate new algorithms and features into current application ecosystem
Devise and cultivate long-term strategic goals for BI development
Continuously evaluate industry trends for opportunities to utilize new technologies and methodologies for continuously-improving BI, and implement these projects as applicable
Conduct research and make recommendations on BI products, standards, and best practices
Build database models, dashboards, reports, interfaces for BI packages
Assist users with problems and resolves issues independently

Data Scientist Resume Examples & Samples

Establish Data Mgmt strategy for Active Service Units (ASU’s) for Dell Global Support Services (GSD) in concert with IT
Data Mgmt Architecture strategy across GSD, intermediate term and long term vision
Ensure efficient and effective cycle times of the Forecast and Measurements processes
Ensure strategic initiatives are decided upon and deployed
Provide analytical expertise in support of the regional teams to ensure solid, fiscally responsible plans are developed

Data Scientist Resume Examples & Samples

Advanced expert programmer in systems language such as C++ or Java
PhD or equivalent experience in statistics, pure or applied math, electrical engineering, theoretical science, or machine learning
Expert level experience in designing and applying statistical and machine learning models and methods
Deep experience with one or more of
Decision Trees
Random Forrest
Deep Learning or Random Forests
Hidden Markov Sequencing
Bayesian statistics
Predictive Analytics
Search
Neural Nets
R Programming
Scripting of data model loads and transforms, and computational processes, using Python, Javascript, Perl, or similar language, on large noSQL data stores
Experience with large multi-programmer projects delivering to cloud operational models
Experience setting up data science programs allowing script-level programming to manipulate data models and run A/B experiments

Data Scientist Resume Examples & Samples

The Data Scientist at will delve into the recesses of large data sets
The successful candidate will combine strengths in mathematics and
Lead data analysis projects on Motorola devices and on their impact on
BA/BS degree or equivalent practical experience in Natural Science,
Strong interpersonal & influential skills
MS in Natural Science, Engineering, Computer Science or other
LI-BM1

Data Scientist Resume Examples & Samples

Continuously improve deep Educational domain expertise in data science
Research and prototype recommendation engines, cluster identification solutions, adaptive and personalized learning assignment engines, adaptive assessment solutions and business analytics solutions
Create data visualization dashboards, APIs and reports
Guide and mentor development teams in productizing prototypes
Communicate results to wider HMH teams at all levels from Executive to Developer
Engage with technical standards agencies to influence data collection, measurement and analytics standards
LI-CT1

Data Scientist Resume Examples & Samples

Developing a data science strategy for Group CTO Research Services; examples of data to be mined include news data, startup financing data and research reports
Performing ad-hoc text and social network mining and clustering analyses to support research for UBS innovation teams and executives; examples include identifying thought leaders in social networks, finding companies similar to a "learning sample" using publically available and procured data / APIs, analyzing investments made into particular industry themes
Financial modelling for new industry business models in financial services, creating simulations to test them
Managing end-to-end research projects - clarifying research requirements in the capital markets domain, devising research approaches, collecting and combining data from multiple sources, analyzing it for insights and producing great visuals

Data Scientist Resume Examples & Samples

Masters in computer science/ math or equivalent
Deep domain experience in big data technologies, data analysis, machine learning and scientific programming
Experience in Mahout and R
Experience in Classification and Clustering Techniques

Data Scientist Resume Examples & Samples

Investigate & analyze data sets for identifiable patterns that can bring business value
Visualize, explain, and present findings in a clear and succinct manner
Work on wide variety of projects ranging from having a very specific focus to a large scale implementation with many moving parts
Utilize creativity in proposing and finding new solutions to satisfy and exceed client requirements and expectations
Work in close collaboration with internal and external customers
Move from POC to offline development to production
BS in Mathematics, Statistics, Computer Science, Management Information or related field
Minor or double major in a business related field a plus
Minimum cumulative GPA of 3.3
Experience in a technical field gained through full-time employment and/or an internship
Experience using R, SAS, or SPSS to manipulate large datasets and apply data mining techniques to identify patters
SQL knowledge used to manipulate data sets on Databases
Experience using Java and/or Python a plus
Familiarity with any of the following a plus; Apache Suite of products (HDFS, Hive, etc.), Tableau, Columnar DB’s
Strong writing, presentation, and problem solving skills
Ability to set priorities and work to tight deadlines
LI-SB1

Data Scientist Resume Examples & Samples

4+ years of experience with applying advanced statistical theory and techniques to large and complex datasets
Experience with multiple tools and programming languages for data analysis, including R, Python, SAS, SQL, or Tableau
Knowledge of statistical or mathematical techniques, including data mining, machine learning, regression, optimization, and simulation
Ability to provide thought leadership in applying advanced statistical and mathematical techniques to solve challenging client problems
Experience with delivery teams focused on analytics and data science
Experience with text mining or natural language processing
Knowledge of Big Data and Cloud computing technologies, including Hadoop, NoSQL, or Amazon EC2
MA or MS degree in Statistics, Data Science, Operations Research, or Mathematics preferred; PhD degree a plus

Data Scientist Resume Examples & Samples

Analyzes massive data sets and chord charts to identify new insights with algorithms, Tests and formulates test cases, through trial and error, to solve business challenges
Integrates multiple systems (Hyperion, SalesForce, HubSpot and others) and data sets for the purpose of linking and mashing up data sets to discover new insights, including working with incomplete data and the ability to cleanse data sets
Applies conceptual modeling, statistical analysis and hypothesis testing
Creates examples and prototypes so business managers can easily understand the information from agreed upon KPI’s
Other duties as assigned based on divisional needs
Conforms with and abides by all regulations, policies, work procedures, instruction, and all safety rules
Exhibits regular, reliable, punctual and predictable attendance
5-8 years related work experience with minimum 2 years experience developing analytical models
Data mining and statistical learning skills; data focused applied mathematics
Talent and passion for problem-solving, with the ability to find and select useful tools targeted for the job at hand
Experience with data-intensive applications, e.g. R, MatLab, NumPy, Strata
Experience with on-screen data manipulation, visualizing data
Experience on some of these technologies: C#, Java, or similar object oriented language
Desire to analyze large data sets, find the truth in data, and develop efficient processes for data analysis
Competence in building predictive models and validating these models against your hypothesis
Strong work ethic with positive, can-do attitude
Great communicator with ability to explain complex topics in layman's terms for non-technical audience
Ability to work collaboratively in a fast-paced, highly entrepreneurial work environment
Bachelor's or Master's Degree in Math, Computer Science, or Engineering-related field
Known programming skills with common languages of Python, Java, Pig, SQL, etc

Data Scientist Resume Examples & Samples

Access, transform and analyze large amounts of user feedback data
Think critically about the relationships of different metrics measured by the product to land the right features for a given model
Challenge our current best thinking, test theories, evaluate feature concepts and iterate rapidly
Design schema and data structure improvements working closely with the software team
Build document clustering, topic analysis, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi-structured data
Cluster and analyze large amounts of user generated content and process data in large-scale environments using Hadoop and Spark
Develop and perform text classification using methods such as logistic regression, decision trees, support vector machines and maximum entropy classifiers
Develop methods to support and drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; Communicate results and educate others through reports and presentations
Perform text mining, generate and test working hypotheses, prepare and analyze historical data and identify patterns
Never settle for good enough, constantly push the limits of how impactful we can be
BS College degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields (strong mathematical/statis background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Strong analytical , presentation and writing skills
Strong MS Office skills; including Excel - ability to present ideas in user-friendly language
Experience/understanding of business process reengineering and business modeling concepts, business systems development and analysis
Awareness of business and IT strategy
General knowledge of financial services concepts , products and marketing of those

Data Scientist Resume Examples & Samples

Works to assist automate stress testing, economic capital and ALM ETL process
Improve data quality management procedures and control processes following appropriate standards and requirement gathering
Conduct test or test planning sessions, provide input for feasibility and prepare documentations and follow-up evaluations
Designs and implements General Ledger (GL) reconciliation process for various regulatory reports
Participates in analytical model development into QRM (Quantitative Risk Management) framework
Acts as a liaison with various departments and project groups to resolve problems
Perform special projects as requested and other duties as assigned

Data Scientist Resume Examples & Samples

M.S. or Ph.D. in quantitative discipline, such as computer science, social science, operations research, econometrics or statistics other relevant field or 5+ years’ experience in a related role
Proven experience developing and implementing statistical models
5 years of demonstrated experience with SAS/BASE, SAS/MACRO, SAS/SQL and SAS/EG
Familiarity with relational databases, such as Oracle, MS SQL and Server
Experience performing data management, mining and manipulation along with statistical analytics (descriptive and predictive, multivariate models addressing confounding, nested factors, and time series)
Experience with tools and analytic methodologies specific to big data and next generation analysis
Excellent communication skills, oral and written
Strong attention to detail and ability to work independently
Familiarity with healthcare data and/or clinical environments
Prefer experience working in wellness industry
Experience with unstructured data analysis

Data Scientist Resume Examples & Samples

5 years demonstrated ability to employ analytic software tools, statistical methodologies, and Business Intelligence to large data sets residing within relational or object oriented databases
Ability to educate and mentor Analytics team members
Experience with scripting language
Experience with large transactional data sets and high volume data
Experience with prescriptive analysis
Concrete experience with the following methods

Data Scientist Resume Examples & Samples

2+ years of industry experience with a proven track record of using data analysis to drive significant business impact, particularly in “Big Data” environments
Expert in predictive modeling using both supervised and unsupervised learning techniques. Must have knowledge and experience in the following: generalized linear models, ensemble models, resampling methods, model validation and testing, dimensionality reduction, clustering, and Bayesian approaches to data analysis
Strong proficiency with at least one language for data analysis, such as R or Python
Demonstrated academic achievement and an active research agenda in relevant topic areas
Ability to communicate modeling procedures and results to non-experts

Data Scientist Resume Examples & Samples

Create and/or execute analytics to find evidence of fraud across channels, products, and businesses (includes data mining, natural language processing, machine learning, statistical analysis, pattern recognition, predictive modeling, etc.)
Create, execute, and/or evaluate methodology and models to test or drive the effectiveness of user authentication and transaction monitoring technologies
Arrange or conduct precursor data activities (identify sources/bias/error, conduct ETL, etc.)
Contribute, create, and/or present results (including visualizations, predictions, recommendations, and explanation of margin of error) to peer stakeholders and senior management
Work collaboratively with peer data scientist and supervise contract worker(s) in supporting role
Ability to quickly learn new tools or programming languages
Large scale data analytics experience
Works well in a team
Analytical thinking
Information gathering
Effective communications
Managing multiple priorities
Thrives on a busy work environment

Data Scientist Resume Examples & Samples

Analyze current business performance and build statistical models to extrapolate current and historical trends into forward-looking forecasts
Monitor forecasts and benchmark performance while understanding the sources of deviation
Analyze large datasets and partner with Product, Engineering, and Business teams to interpret findings and identify actionable insights and opportunities

Data Scientist Resume Examples & Samples

Design and implement data models, perform statistical analysis and introduce predictive analysis models
Producing cyber threat intelligence to define the current threat landscape and further the enterprise security risk management strategy
Perform technical research into malware security incidents to identify tactics, techniques and procedures and to highlight new threats
Integrate internal systems, open source and trusted partner information through exchange of threat indicators to better protect the enterprise
Provide actionable intelligence information for delivery to internal stakeholders in the form of technical reports, briefings, and data feeds
Increase awareness and analytical effectiveness by implementing visualizations of cyber threat indicators
Participate in cyber threat exchange forums and information sharing and analysis centers
Participate in the enterprise incident response process and lead post-incident reviews
Bachelor’s or Advanced degree in Mathematics, Physics, Engineering or Computer Science or the equivalent
Knowledge of cyber threats including malware, cybercrime and advanced threats
Knowledge or experience with Big Data, Analytics, Statistical Models, Hadoop and R
In depth knowledge of operating systems, computer architecture, networking protocols and security technologies
In depth knowledge of network-based and host-based artifacts analysis, malware decompilation and forensics
Programming skills with C, Python, Scripting languages
Good knowledge of common office tools
Existing Secret clearance or ability to obtain is preferred
Ability to communicate in French is an asset
Initiative
Sense of collaboration (teamwork)
Ability to influence
Results Orientation
Verbal and written
Supervision and monitoring

Data Scientist Resume Examples & Samples

2 year experience in Text Analytics and Statistics
3 years’ experience of Java Development
At least 2 years experience in Java development
At least 1 year experience in meta-data driven programming models using SPSS and/or Cognos
At least 2 years experience in Data Warehousing design
At least 1 year experience in IBM Middleware (WODM, DB2, IIB, WAS, etc.)

Data Scientist Resume Examples & Samples

75% of the time driving multiple analytic projects with high complexity, strategic value, and executive visibility
25% of the time sharing best practices and growing the culture of data driven decision making in Microsoft
Master’s degree required in statistics, mathematics, computer Science or economics
Ph. D in quantitative field desirable (statistics, economics, computer science, mathematics)

Data Scientist Resume Examples & Samples

Develop data-driven solutions to understand game design and key business behaviors, such as player acquisition, retention, and winback
Work independently as a professional modeler to design and construct statistical models to forecast key metrics
Work closely with executives and team leads to provide insight into game and business data
Effectively communicate statistical findings to senior management

Data Scientist Resume Examples & Samples

Perform continuous analysis and requirement handling
Contribute to the
Development and testing activities
Maintenance of legacy features
Customer support
The deployment of newly developed functionality to pilot customers
Continuous improvement of products and processes
Experienced and senior engineers with significant work experience in some of our key competence areas with desire to learn, develop and discover
Junior engineers with informatics/electrical engineering degree, potentially some relevant work experience and determination to build a career in our field
Trainees with informatics/electrical engineering background, general interest in the field of our work and lots of enthusiasm

Data Scientist Resume Examples & Samples

Work closely with the international brand and cluster research teams to identify opportunities for use of advanced analytics with the purpose to serve several business units across the organization with the best insights for the most successful strategic decisions
Extract information from large data, validate data and translate metrics into visual tools and actionable insights
2+ years of experience working in a role requiring a high level of numeracy, accuracy, and analytics
A Bachelor’s, Masters or PhD in a quantitative discipline
Expertise in manipulating and analyzing unstructured, high-volume data from varying sources
2+ years working in advanced statistics such as modeling, clustering, sampling, path analysis etc
Must have fluency in one or more modern tools like SAS, Tableau, R, Python/SciPy/NumPy, NoSQL/SQL, and various public APIs
Fluency in English, with excellent written and verbal communication skills. A second language is an advantage
The ability to manage multiple projects and changing priorities effectively in a complex, fast-paced business environment
The ability to be diplomatic with a high level of cultural sensitivity

Data Scientist Resume Examples & Samples

2+ years industry experience in data analysis and modeling
Programmatic data manipulation skills - i.e. SQL, R data tables
Superior verbal, visual, and written communication skills

Data Scientist Resume Examples & Samples

Perform large-scale statistical research, analysis and modeling in the area of advanced analytics and customer marketing
Apply multivariate statistical tools to help marketing define customer segments, marketing optimization, customer retention, marketing mix modeling, and other key marketing applications
Design and oversee design of experiments for marketing tests

Data Scientist Resume Examples & Samples

An insatiable passion for solving analytical problems using quantitative approaches
Comfort manipulating and analyzing large data sets from varying sources
Ability to balance a fast-paced working environment with the need for precision
Ability to work both independently and collaboratively within a team
Experience with an analysis tool such as R, MATLAB, or SAS
Fluency with at least one scripting language such as Python, Ruby or Perl
Experience with application development with Java and Scala
Experience working in AWS cloud environment
Familiarity with distributed system technologies such as Hadoop and NoSQL databases

Data Scientist Resume Examples & Samples

Recent graduate in MS/PhD in Computer Science, Operations Research, Statistics or highly quantitative field (or equivalent experience) with strength in Machine Learning, Data Mining, Statistical or other mathematical analysis
Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
Strong understanding of algorithms and data structures
Strong analytic and problem solving capability combined with ambition to solve real-world problems
Results orientation with ability to plan work and work in a team
Experience working with large datasets using tools like Hadoop, MapReduce, Pig, or Hive is a plus
Ability to program in one or more scripting languages such as Perl or Python and one or more programming languages such as Java, C++ or C#
Experience with one or more common statistical tools such SAS, R, KNIME, Matlab
Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus

Data Scientist Resume Examples & Samples

To help develop and support the use of the Analytics Centre of Excellence policies, tools, and best practices across the enterprise
Participate in the creation of detailed plans and accurate estimates towards development, testing, and implementation of the project or program
Contribute to successful project completion by identifying risks and developing/recommending mitigation strategies
To help ensure required infrastructure is in place to effectively support components in production
2 years of work experience with Big Data Analytics technologies: Hadoop – HDFS, Pig, Hive, Oozie, Storm, Spark, Flume, Sqoop, HBase
Intermediate MapReduce development experience
Strong knowledge of design, development, and implementation experience utilizing Analytics technologies
Some knowledge in Analytics technology integration and architecture
Expert technical documentation skills
Strong interpersonal and communication skills (both written and oral); ability to communicate with people in a wide variety of areas and at various levels from technical specialists to senior management
Bachelor degree in Computer Science
Masters in Statistics or Machine Learning
LI-TS2

Data Scientist Resume Examples & Samples

Develop new statistical algorithms for paid search, attribution modeling, real time display bidding and social media in R
Deploy algorithms utilizing middle tier software packages such as C/C++, C#
Interact with new media products and integrate them into the software as a service platform
Support algorithmic media managers in implementing algorithmic tools on client campaigns

Data Scientist Resume Examples & Samples

Think strategically about uses of data
Design and build large and complex datasets from a variety of data sources across multiple platforms (PC, Mainframe, Unix/Linux, Teradata)
Perform data analyses on, or discover new uses for existing data sources
Design and implement statistical data quality procedures
Perform analyses in statistical packages and languages such as R, SAS, or MatLab
Develop and evaluate the performance of predictive statistical models
Use multivariate techniques such as PCA, factor analysis and cluster analysis to develop segmentation approaches that meet business needs
Creatively visualize data and report findings in a variety of formats to provide relevant insights to the organization
PhD in Data Science related fields
Demonstrated skills in large scale data manipulation and data mining / pattern recognition
Knowledge of descriptive analytics and data visualization tools

Data Scientist Resume Examples & Samples

At least 3 years experience in mathematical optimization using SPSS, ILOG CPLEX and other tools, including experience with linear, mixed integer, and constraint programming
At least 2 years experience in semi-supervised learning & ensemble methods, decision trees, neural networks & risk modeling
At least 3 years experience in modeling & mining large datasets using technologies such as R, Matlab, SAS, SPSS
At least 2 years experience in data analytics & deployment of models and algorithms into a production environment in order to analyze extremely large volumes of structured data
At least 3 years experience in applying advanced analytics techniques in a consulting environment
Readiness to travel Up to 4 days a week (home on weekends-based on project requirements)

Data Scientist Resume Examples & Samples

Strategic Thinking: Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including cost savings, revenue and profits
Modeling: Experience with creating ETL processes to source and link data, feature design and selection design and implement statistical / predictive models using edge algorithms on diverse sources of data and testing and validation of models
Analytics: Utilize analytical applications like R to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into business strategies
Visualization: Create visualizations to connect disparate data, find patterns and tell engaging stories. This includes both scientific visualization as well as geographic
Communications and Project Management: Capable of turning dry analysis into an exciting story that influences the direction of the business and communicating with diverse teams to take a project from start to finish. Collaborate with product teams to develop and support our internal data platform and to support ongoing analyses
M.S./ Ph.D. in a science-based program with an emphasis on data analysis (e.g., Statistics, Computer Science, Mathematics, Physics, etc.)
Big Data experience with the following tools: Hadoop, MapReduce, PIG, HIVE,
Machine Learning experience with the following tools: R, Weka, Mahout, scikit-learn
Visualization experience with the following tools: Tableau, Spotfire, ARC Gis

Data Scientist Resume Examples & Samples

Identify user behavior, segment existing users into different conversion stages and behavior segments for the purpose of monetizing a large free user base
Create A/B and multivariate conversion improvement tests with sound hypotheses based on both qualitative and quantitative data
Use data to make regular adjustments to gameplay variables, in-game economy, and pricing to maximize the lifetime value of each user
Leverage business intelligence, user analytics, and quantitative analysis to monitor game health performance and to identify and prioritize product features that will increase monetization via improved conversion and retention
Build strong relationships with game production and marketing teams to collaboratively influence game design, roadmap, and promotions in the interest of monetization
Through industry research, ongoing education and practical experience, become a leading subject matter expert in mobile monetization while building out solutions that not only achieve market parity but push forward IMAGICADEMY as world class curricular experience for the whole family
3+ years demonstrable experience driving measurable results in an interactive environment (retention, monetization), ideally in mobile and in various business models
Ability to define opportunities and problems, collect and analyze data, establish facts and make valid conclusions
Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious)
SQL, Teradata, MS SQL, Oracle, Hive
Experience building complex Tableau dashboards
Strong ability to manipulate various data sources in Hive (server log data, web data, user behavior data)
Experience with consumer behavior and insights analysis (transactional and usage)
Python coding experience is a plus
Great communication and teamwork skills
A passion for digital games designed expressly with kids and families in mind
Self-motivated with the ability to work independently
Excellent understanding of statistics and the ability to confidently translate business intelligence into compelling and actionable recommendations
BA/BS degree (CS, Econ, Math, Stats preferred)

Data Scientist Resume Examples & Samples

Develop data driven solutions working with the team in NY and Zurich
Identify new opportunities to provide value through the analytics and write project proposals
Agree the scope and prioritization in order to meet deadlines
Communicate the analytical findings in a clear and concise way
Advert Ends 10th July 2015

Data Scientist Resume Examples & Samples

Conduct, deliver and explain analyses of student and teacher data, focusing on internal audiences from product management, curriculum development and product development, including visual and interaction design
Articulate and promote vision for integration of analytics into curriculum design
Collaboratively develop a data-driven methodology for effectiveness analyses of curriculum efforts
Advise on data model design to support in-line and post-hoc analyses
Promote and model collaboration, accountability, innovation, entrepreneurship, and overall excellence around research and analytics
PhD in Cognitive Science/Psychology, Statistics, Computer Science, or related field
3+ years’ experience in data analysis
Demonstrated comprehension of statistical concepts and experience with selecting appropriate methods
Proven experience conducting statistical analyses using non-point-and-click tools
Proven experience in the use of technical tools to collect, clean, and structure data sets from real-life data
Demonstrated proficiency with academic and business writing and presentation skills
Proven experience deriving useful insights from high-volume clickstream data
Experience in the field of education
Expertise in SQL and databases, such as Postgresql, MariaDB, Oracle, SQL Server
Expertise in statistical software packages such as MPlus, Stata, Matlab, R, etc
Experience using scripting languages such as Python, Ruby or shell scripts

Data Scientist Resume Examples & Samples

Analysing a wide range of data sources to identify new business value
Be an expert for advanced analytics across the business, educating the business about its capability and helping to identify use cases
Familiarity with methods including clustering, time series regression, decision trees, random forests, Bayesian inference
Expert knowledge of SQL, PIG, HIVE, shell scripting and strong programming skills such as Python, Java, Ruby, Scalaor Perl
An effective communicator and networker, able to influence and explain complex topics to business stakeholders
Well organised and able to prioritise effectively
Able to pick up new data tools/concepts quickly
Able to adapt to constantly changing challenges

Data Scientist Resume Examples & Samples

At least 1 year experience in apply knowledge of analytics tools
At least 2 years experience in computer science, data science, mathematics, statistics, engineering, or related disciplines
Basic knowledge in applied statistics and basic statistical modeling
At least 1 year experience in applied statistics and basic statistical modeling
At least 1 year experience in statistical software, such as Statistical Programs for the Social Sciences (SPSS), "R," Statistical Analysis System (SAS), Python, or other programming languages

Data Scientist Resume Examples & Samples

Prior experience in applied analytics, statistics, business intelligence, or predictive modeling
Comfort in working with multiple databases and large data sets
Strong initiative and ability to manage multiple projects as well as ability to work well with others in a fast-paced, dynamic environment
Creativity and open-mindedness
Work with data visualization software such as Tableau a plus
Excellent quantitative skills, including proficiency with statistical software and advanced excel knowledge
Exceptionally well-organized and meets deadlines in a timely manner
BA or BS required
Graduate degree in Mathematics, Statistics, or Economics preferred
International experience a plus
Interest in and passion for movies

Data Scientist Resume Examples & Samples

Work closely with diverse teams of stakeholders including customers to clearly identify, understand and answer important business and/or technology challenges, initiatives and questions to be answered
Identify scope and prioritize the related Business Use Cases, based on the value they will potentially deliver to the business
Provide hands-on support as required in formulating a coherent cross-business approach and strategic/tactical plan for Big Data initiatives
Lead and participate in complex and cross-company Big Data Analytics projects by analyzing and interpreting the results of analytical experiments
Formulating hypotheses that will potentially show new insight through the correlation and/or application of different analytical methods to diverse data sets
Deliver innovation and advice to the Business and Customer as an analytics discipline leader
Learn, adopt and leverage analytics best practices to deliver quantitative improvements to the Analytics and Process Modelling functions
Perform deep dive analyses of experiments through reliable modelling methods that include numerous explanatory variables and covariates
Translate analytic insights into concrete, actionable recommendations for business, process or product improvements
Must have 8+ years of experience in analysis of complex, high-volume, high dimensionality data from varying sources
Data modelling and Data analysis
Natural curiosity in wanting to uncover fresh insights from disparate data sources
Ability to identify the key analytical questions and frame the problem that we are attempting to solve in a clear business context
Conceptual modelling - able to translate models to machine representation
Statistical analysis - Able to understand and work around possible limitations in models
Predictive modelling - ability to leverage available data and predictive modelling techniques, to predict future outcomes / ability to proactively recommend the next best action based on future predictions
Data mining - ability to uncover or discover previously unknown insights from the available source data
Machine learning - ability to use and/or develop algorithms that provide the ability for the system to learn and predict from the source data
Have the ability to query databases and perform statistical analysis
Good understanding of design and architecture principles
Must have experience in three or more of SAS, R, SPSS, Hadoop (Mahout), Matlab or similar capabilities
Conversant in relational databases and SQL
Conversant in NoSQL storage methods and Application Programming Interfaces (API's) such as Casandra, Couch DB, Redis or Mango DB

Data Scientist Resume Examples & Samples

Masters in Applied Computer Science (or combination of education and applicable experience)
At least 3 years relevant fulltime experience before or after an advanced degree
At least 5 years relevant experience before or after a Bachelor’s degree
Eligible to work in the US
Strong preference for experience in financial services
Strong preference for experience working with a mix of structured and unstructed data
Strong preference for prior Fraud work (secondary preference for AML modeling & tuning)
Experience including responsibility to identify and obtain data

Data Scientist Resume Examples & Samples

At least 2-5 years of experience depending on educational level and relevance
Builds analytical models using statistical, machine learning and data mining methodologies
Implements and evaluates business metrics
Utilizes Hadoop, SQL and NoSQL languages, tools and technologies to extract and process data for analytical needs. Develop data processing pipelines
The Data Scientist collaborates with software development teams to operationalize analytical solutions and create analytical/business intelligence products
Constant learning new analytical algorithms, tools and technologies
Regular, consistent and punctual attendance. Must be able to work variable schedule if necessary

Data Scientist Resume Examples & Samples

Work closely with senior leadership across different business units (Research, Marketing, Ad Sales, and Programming) to identify business needs and challenges that can be addressed through data-driven analytics
Solutions will include but will not be limited to: Optimized Media Planning, Audience Sizing and Opportunities, Marketing Campaign Conversion and Tracking Analysis, Program Affinity Mapping, Optimized Audience Targeting and Digital Marketing Campaigns, Audience Segmentation, Hyper Targeted Segmentation for third party advertising partners
Work with brands and business units to ensure that all consumer and behavioral data is stored in a centralized enterprise repository using Amazon Web Services, Redshift and C3
Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire, Qlikview etc.)
Work with a team of world class data scientists, business analysts & statisticians. Your work will have a measurable impact on audience engagement and targeted sales
Working knowledge of SQL
An understanding of statistical output from procedures like clustering, machine-learning algorithms, regression modeling, etc
Track record of delivering strong business results
Nice to have: Strong background in advanced data visualization using d3, javascript, python based interactive visualization, R-Shiny, Google Charts

Data Scientist Resume Examples & Samples

Advanced Degree in Statistics, Math, Engineering, Physical Sciences (Biology, Chemistry, Physics, etc.), Computer Science or another quantitative discipline
5 - 7 years of experience in the use of advanced statistical analysis/machine learning methods
A minimum of 3 years of financial services specific experience is required for this role
Strong understanding of core financial concepts

Data Scientist Resume Examples & Samples

Build and execute analytics and reporting across platforms to identify user behaviorand analyze trends, patterns, and shifts in user behavior, both independently and in collaboration with product managers and data analytics resources
Bachelor's degree in aquantitative field (e.g., Mathematical, Statistics etc.)
Experience creatingmodels/analysis using machine learning techniques like clustering, associationrules, sequential pattern matching etc
Experience in data integrationand modeling is required
3 plus years of experience indigital analytics with a solid understanding of interactive marketing channels(e.g., search, social listening, paid and earned media, website, mobile apps,email marketing, mobile messaging)
Proficient in Omniture sitecatalyst reporting, Google Analytics, Flurry and social media platforms inaddition to Nielsen data etc
Demonstrated ability to querydata sources directly (SQL and other query languages)
Proven ability to use R (oranother statistical package)
Expertise in craftingpresentations for specific or broad audiences
Comfortable working both as partof a team, and independently
Experience working with big datatechnologies is a plus
Experience in text mining is aplus

Data Scientist Resume Examples & Samples

Plan and design statistical analysis studies using various sources of enterprise, product specific, and partner data
Work with large datasets and analyzing high volume, high dimension data from a myriad of sources
Develop descriptive, predictive, and proscriptive models using advanced procedures, like statistical modeling and Bayesian analysis. This includes experience evaluating correlation vs. causation through analysis and identifying emerging and established trends
Expert level use of SAS, R

Data Scientist Resume Examples & Samples

Develop Analytics projects based on Motorola devices and customers data
Partner with Hardware Engineering, Software Engineering, Product Management, Sales and IT teams to share results and collect feedback/requirements
Work with Cloud Services teams to improve data collection and pipeline.
Provide technical leadership in Analytics tools and techniques across the company, e.g. answer FAQ questions, write Wiki articles on best practices, give Tech Talks
Drive innovation in one of the top brands in the mobile industry with the help of cutting edge technologies
BA/BS degree or equivalent practical experience in Engineering, Computer Science, Natural Science or other relevant quantitative & applied field
3 years of work experience analyzing relevant patterns and insights extracted from data
Excellent verbal and written English skills
Experience querying data (e.g. SQL, Access, Excel)
Knowledge in programing languages such as Java, Python, C, C++
Experience delivering and presenting relevant results based on statistical models, data mining and/or machine learning techniques and tools
Strong interpersonal and influential skills
Proactive, organized, practical and solution oriented A sense of humor, personal integrity, humility and an appreciation for the power of true teamwork
MS and/or PhD in Natural Science, Engineering, Computer Science or other relevant quantitative & applied field
Practical skills in Analytics/Big Data portfolio
Experience querying Big Data (e.g. Oracle, Teradata, BigQuery, Hadoop)
Solid background in Machine Learning, Data Mining, Statistics and/or Discrete Optimization techniques
Knowledge of statistical environments (e.g. R, JMP, SAS, SPSS, Excel)
Knowledge of Experience building ETL
Basics understanding of the mobile industry
Experience with Deep Learning
LI-GF1

Data Scientist Resume Examples & Samples

Interact with business stakeholders to achieve a detailed understanding of their challenges and translate those challenges into analytical use cases
Formulate measurable and actionable goals for these use cases
Take the lead in use case execution on a data science level
A degree in Statistics, Mathematics, Computer Science, Engineering or other relevant field
Minimum of 3 years of hands-on data science experience
Strong expertise in statistical analysis, data mining, machine learning (e.g. supervised/unsupervised learning, time series models, hypotheses testing)
Strong know how in statistical / data mining tools and languages (ideally R)
General business understanding
General BI Skills preferred
Know how in database technologies preferred

Data Scientist Resume Examples & Samples

Minimum 3-5 years relevant experience with an organization known for its cutting edge/ best-in-class applicability of advanced analytics and predictive modeling techniques
Master’s Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research, Physics)
Extensive knowledge of and experience in applying data mining and machine learning techniques in a professional context
High level of comfort with various data types and structures: structured versus unstructured data, or static versus stream data
Extensive prior experience in integrating data, profiling, validating and cleansing data
High level of proficiency in statistical tools like SAS, R , SPSS
Well versed/ good understanding of programming languages like Java/C/C++ in order to generate derived data
Experience with Hadoop, MapReduce, PIG and relational databases and SQL is preferred
Excellent troubleshooting skills
Excellent negotiation skills
Experience of working within an Agile environment

Data Scientist Resume Examples & Samples

Define data requirements
Perform explorative analysis
Select appropriate statistical methodologies
Build and operationalize statistical models
Translate insights into a business language
Proactively identify new use cases / data driven business opportunities
Contribute to shaping the Big Data Strategy for the adidas Group

100

Data Scientist Resume Examples & Samples

Lead and participate in the design and implementation of Big data and BI solutions using Hadoop and Apache open source components as well as enterprise grade BI and analytics solutions from leading vendors
Analyse user requirements and create effective and efficient data related solutions
Perform data exploration, mining, and forecasting
Explore and propose solutions to business problems that can be addressed using insights from data
Develops data architectures strategies, principles, standards and frameworks. Analyzes and evaluates alternative tactical and/or strategic data architecture solutions to meet business requirements

101

Data Scientist Resume Examples & Samples

Work with data engineers to build mineable datasets
Execute data mining activities providing insight from datasets
Build accurate statistical supervised & unsupervised predictive models
Work with business owners to understand context with in datasets & processes
Deliver insight to leadership, helping drive strategic business decisions
Drive innovation by evaluating business processes and identifying data science solutions
Experience with retail analytical problems such as market mix modeling, demand modeling, optimization, merchandise planning, forecasting, inventory optimization, and supply chain optimization
Knowledge of NLP, text analytics, social analytics
Experience with programming languages such as java, python, C++, etc (java preferred)
Experience using Hadoop and related toolsets to analyze Big Data

102

Data Scientist Resume Examples & Samples

PhD or MS degree in Computer Science, Electrical Engineering, Statistics, Applied Math, Econometrics, Operations Research, or other related fields
Deep understanding of statistical modeling, machine learning, or data mining concepts, and a track record of solving problems with these methods
Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
Proficient in one or more programming languages such as Python, Java and C
Knowledge and experience of working with relational databases and SQL
Strong analytical and quantitative problem solving ability
Excellent communication, relationship skills and a strong team player
Knowledge of numerical or combinatorial optimization

103

Data Scientist Resume Examples & Samples

5+ years of combined industry and/or academic (BS/MS/PhD) experience, including some experience with experimental design/analysis in a research or industry context
Masters expected, PhD preferred in a quantitative discipline such as Statistics, Physics, Applied Math, Engineering, Economics, Computer Science, Operations Research, or Computational Sciences
Expertise in statistics, including experimental design, regression modeling, clustering. Candidates must have a strong foundation in the theoretical underpinnings and must be able to choose appropriate methods for solving a given problem, rather than using packages as a black box
Familiarity with either Hadoop MapReduce or Apache Spark ecosystem of open-source tools and ML packages very desirable. We use these frameworks for our day-to-day data processing needs
Must be able to write clean and concise code in at least one of the following: Python, Java, Scala. Our interview process includes writing some code to solve a problem on the whiteboard
Experience with at least one online testing package (Optimizley, Test and Target, Maxymiser, etc.) and web analytics software (Omniture, Google Analytics) is a plus
Familiarity with javascript, R, SQL\hive, is a strong plus
You hold yourself and your colleagues to a high bar, and take great pride in your attention to details. You inspire us to aim higher

104

Data Scientist Resume Examples & Samples

3+ years industry experience, including hands-on experience with A/B testing
Masters in quantitative discipline required (Statistics, Physics, Applied Math, Engineering, Economics, Computer Science, Operations Research, or Computational Sciences), or Bachelors with comparable combination of coursework and industry experience
Strong background in statistics, including experimental design and regression modeling. Candidates must have a strong foundation in the theoretical underpinnings and must be able to choose appropriate methods for solving a given problem, rather than using packages as a black box
Experience with at least one online testing package required (Optimizley, Test and Target, Maxymiser, etc.)
Experience with web analytics software (Omniture, Google Analytics, etc.) - knowledge of tagging/tracking is a plus
Experience with a proprietary testing platform, or familiarity with open source testing platforms is a strong plus

105

Data Scientist Resume Examples & Samples

Evolve our user lifetime value models and use them to direct growth marketing campaigns toward where they will have the maximum impact
Build statistical models to predict demand and supply of listings by geography
Work with our customer experience team to convert unstructured text to insights about where our product falls short, and then partner with engineers to make improvements
Work with our marketplace team to develop a new price recommendation algorithm for our host community
Develop machine learning models with our Trust and Safety team that can identify risky behavior before impacting our community
Improve the statistical methodology behind our experimentation platform to ensure that our understanding of product changes is rigorous and accurate

106

Data Scientist Resume Examples & Samples

Collaborate with business lines and other stakeholders to deploy models across different channels and customer platforms
Prepare detailed documentation to outline data sources, models and algorithms used and developed
Strong software engineering skills in Java, C++ or Python
Extensive experience with statistical analysis tools like SAS and R
Experience with social media, mobile and web analytics is a strong asset

107

Data Scientist Resume Examples & Samples

Research and develop state-of-the-art machine learning, data mining, and statistical modeling solutions to understand game design, system performance and key business behaviors, such as player acquisition, retention, and winback
Analyze and extract key insights and patterns from Blizzard's rich collections of petabytes of gameplay and operational data
Work closely with data and systems engineers to deploy and maintain models seamlessly on production systems

108

Data Scientist Resume Examples & Samples

Evaluate the performance of models and debug these systems
Build recommendation systems
Help to build data pipelines, clean-up data, create rules for data quality
Feature engineering of datasets - creative thought in generating new predictive signals for the system
Build classifiers and predictive models using the signals we collect (supervised approaches)
Drive quality into feature and datasets
Process structured / unstructured data from a variety of sources (public and private)
Understanding of programming languages such as Java, JavaScript or C++
Web-based data scraping / crawling techniques and experience of cloud platform

109

Data Scientist Resume Examples & Samples

Partner with associates in other business areas to define business needs and help translate those needs into system requirements
Develop project documentation, including scope and requirement documents, use cases, test scenarios and test cases
Collaborate with other professionals including Actuaries, Mathematicians, Accountants, Software Engineers, and Process Engineers
Create and maintain metrics for assessing the robustness of predictive models in meetings business needs
Bachelor’s Degree in Mathematics, Computer Science, Actuarial Science or related field
Working knowledge of query tools and data repositories that support data extraction and manipulation
Structured Query Language (SQL) and experience with relational databases
Ability to use predictive modeling software
Strong statistical and mathematical knowledge: Position requires knowledge of traditional and contemporary statistical models including but not limited to statistical estimators, generalized linear modeling, naïve Bayesian classifiers, parametric statistical analysis techniques, interpretation of point estimates and error calculations
Experience using ensembles to enhance predictive model performance
Data Mining training in the form of Master’s Degree, Certificate or relevant work experience
Experience using IBM Modeler, SAS Enterprise Miner, R or F#
Applied knowledge of health insurance
Experience with Health Insurance Risk Adjustment a plus
Programming experience in Visual Basic, Python, R, F#
Ability to communicate and teach statistical concepts to other business professionals

110

Data Scientist Resume Examples & Samples

Maintain and support data science models in production
Identify opportunities where improvements can be made
Perform all aspects of analysis
Perform the UAT testing after the development team has developed the software for Data Science models
Manage Data Lake installations and upgradations

111

Data Scientist Resume Examples & Samples

Lead and manage multiple Data Analysts
Apply your expertise in quantitative analysis, data mining, and data visualization to understand how our users interact with our product
Use Predictive Modelling to predict demand for titles that Viki has licensed or is considering to license. Use a variety of datasets to help identify characteristics of shows that “work” and are popular with our audiences
Use Algorithms and Machine Learning to improve our recommendation engine and suggest relevant content to our users
Research and implement ways to optimize the ad-serving on Viki. We want to personalize ads to improve user experience and get the right ad to the right person

112

Data Scientist Resume Examples & Samples

3+ years in a leadership role where you built and managed a team
Willing to be a hands on technical data scientist
Experimentation expert
Capable of translating a high-level vision to an unambiguous technical roadmap
Expert in clearly communicating technical concepts to a nontechnical audience

113

Data Scientist Resume Examples & Samples

BS/ BA in Computer Science, Information Systems, Engineering, Statistics, Mathematics, or other related scientific or technical discipline with two (2) or more years of experience related to this position, Masters or Ph.D. preferred
Relevant IT certifications preferred
Strong, demonstrable data analysis skills
Proficiency with analytics languages and tools (e.g. Python, R, SQL, Hive, Pig, Matlab, SAS)
Strong Foundation in statistics
Experience with object-oriented general-purpose programming languages preferred (e.g. C#, Java)
Entrepreneurial team-centric solution mindset
Five (5) or more years of demonstrated experience in data analysis, data manipulation, and decision support
Knowledge and application of relational database concepts
Knowledge and application of distributed computing and distributed databases (e.g. Hadoop, NoSQL)

114

Data Scientist Resume Examples & Samples

Lead quantitative development work for the Equities research database
Re-engineer the existing research database to be consistent with new architecture
Source variety of data (e.g. social media, news feeds, web-scraping etc.) to generate unique insights on specific sectors and companies
Cluster large amount of user generated content and process data in large-scale environments (i.e. Storm, Hadoop, Spark, etc.)
Work closely with other Data Analysts and IT Architects to turn proven models into sustainable solution
Drive business engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as Product Development, Sales & Distribution, Operational MIS, Operations, and Risk Management; communicate results and educate others through reports and presentations
LI-CD1
LI-Recruiter

115

Data Scientist Resume Examples & Samples

Research Big Data sets to identify and implement investment strategies
Ph.D in an empirical science: physics, biology, statistics
Dissertation involving the use of computational tools
3-5 years in the finance industry, using Big Data & machine learning techniques on real datasets
Multivariate time series analysis
Algorithm complexity
Machine learning, HPC, parallel processing
Strong data visualization techniques
Python, R a must. C++, MATLAB a plus
Expert in pandas, scikit-learn, statsmodels, scipy, matplotlib, HDF5 libraries
Windows and Linux
Proactive and solutions-oriented; innovative and results-driven
Ability to share code and participate in the development of software with multiple contributors
Ability to absorb new information quickly
Comfortable in a fast paced environment
Comfortable juggling multiple projects and managing time independently

116

Data Scientist Resume Examples & Samples

Serving as a consultative partner to the marketing/operations teams etc. to understand needs and translate those new innovative improvements to our optimization algorithms
Understanding and applying data mining techniques to generate deep insight and discover effective solutions to challenging problems
Delivering presentations to high level business stakeholders that tell cohesive, logical stories using data
BA/BS/MS/or PhD, with strong academic record, ideally in Economics, Mathematics, Computer Science, Physics, Operations Research, Statistics or other quantitative field
1-5 years of experience in a corporate, start-up, or research environment
Intense intellectual curiosity – strong desire to always be learning
Analytical, creative, and innovative approach to solving difficult problems

117

Data Scientist Resume Examples & Samples

Comfort with managing ingestion and cleansing of large unstructured data and developing analytical capability to query the data and respond to user requests using a wide range of technologies
Comfort with experimenting with various tools and technologies with the end goal of creating innovative data driven insights at a quick pace
Understand in depth, design and inform statistically valid tests with test and control groups and to manage the process of identifying testing strategies
Comfort using extensive and often disjointed and unstructured datasets to independently generate consumer insights with the intent of creating manageable analytical processes
Develop new approaches to understand the consumer and solve complex business problems such as optimizing product performance, gross profit and adoption
Research new ways for modeling and predicting end-user behavior. Design experiments to answer targeted questions
Generate actionable insights using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining
Communicate statistical modeling results into measures of business impact
Must have an in depth knowledge of statistical techniques including regressions, cluster analysis test design, non-parametric tests and forecasting methodologies
Must have experience with big data and standardizing/ appending variables across disparate datasets
Experience with A/B testing and test and control test designs
Highly analytical, results oriented, have superior organizational skills with a strong attention to details and deadlines and be able to effectively manage multiple projects/assignments simultaneously
Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities
BA/BS degree required with technical focus (e.g. mathematics, computer science, physics)
MS or PhD degree preferred
Minimum of 2-3 years’ of progressively complex related experience
Experience with R and SQL and preferably a scripting language (Perl, Python)
Comfortably interact with various members of the organization
Business experience in media industry preferred

118

Data Scientist Resume Examples & Samples

Contribute and maintain CUDA (GPU) routines
Contribute low-level optimizations in C (SSE, vectorization, …)
Maintain a complex numeric library (Torch7)
Maintain a bridge between open-source code base (torch.ch) and internal code base
Contribute to overall library design (Torch7 + auxiliary neural network and deep learning packages)
Experience with Lua / LuaJIT
Extensive experience as a contributor to large open-source frameworks
Familiarity with numeric algorithms and machine learning algorithms

119

Data Scientist Resume Examples & Samples

Build complex statistical models that learn from and scale to petabytes of data
Use Map-Reduce frameworks such as Pig and Scalding, statistical software such as R, and scripting languages like Python and Ruby
Define metrics, understand A/B testing and statistical measurement of model quality
Understand and leverage crowdsourcing and human computation approaches to data labeling

120

Data Scientist Resume Examples & Samples

Set and achieve personal sales goals while supporting the goals of the team
Greet customers in a timely, professional and engaging manner
Provide honest and confident feedback to customers regarding products
Build lasting relationships with customers by contacting them to follow up on purchases, suggest new products and invite them to upcoming events
Consistently seek new trend and product knowledge to act as an expert for the customer
Open new Nordstrom RewardsTM accounts as a means of building customer relationships
Build and maintain strong vendor relationships to maximize business results
Manage the scheduling and execution of vendor events and promotions
Communicate business opportunities that include line performance, stock levels and team motivation/recognition
Perform daily department maintenance tasks including stock work, re-merchandising, display, price markdowns, merchandise transfers and light cleaning
Have a high school diploma, or equivalent (preferred)
Proven ability to set and achieve sales goals
Competitive drive and entrepreneurial confidence to succeed in a commission-based environment
Demonstrated ability to develop relationships with customers and coworkers
Knowledgeable and enthusiastic about cosmetic trends
Ability to positively and proactively handle customer concerns and prioritize multiple tasks in a fast-paced environment
Ability to quickly learn new procedures and processes
Strong organizational and follow-through skills
High level of ownership, accountability and initiative
Cosmetic experience and licensing is not required; we will provide training to all employees in cosmetics

121

Data Scientist Resume Examples & Samples

Conduct in-depth analysis to address or highlight business issues related to digital products
Strong understanding of global digital product landscape with keen understanding of product and platform trends
Provide statistical and product expertise to support and conduct quantitative analysis and statistical validation related to digital trends and consumer behavior on various WWE digital assets
Bridge the gap between data and action - communicate analytical findings and help to identify commercial implications and opportunities arising from the conclusions
Work with business stakeholders and digital managers to understand business requirements and develop product evaluation documentation
Provide functional specifications for streamlining analytical needs across multiple data providers
Conduct proactive data mining and profiling to optimize marketing initiatives across key international regions and discover hidden trends
Liaise with external agencies on advanced analysis and present results to stakeholders
Minimum of 4 years of related digital analytics experience
Internet and computer-savvy; familiar with key sites and functionalities
Experience with web content/publishing tools, such as Drupal / HTML coding
Strong analytical skills and familiarity with standard web tracking tools such as Google Analytics and VWO (Visual Website Optimizer)
Proficient in Excel, including use of pivot tables and advanced functions
Proficient use in statistical tools such as R, SPSS or SAS
Proficient in SQL
Good multi-tasking and project management skills
BS/BA in relevant field, such as Math, Statistics, Engineering, or Computer Science

122

Data Scientist Resume Examples & Samples

Build models, simulation, scalable and automated analytical systems
Educate and train others on modern applications of data science techniques
1 or more years’ experience using data to impact critical product or business decisions preferred
A degree in computer science, machine learning, statistics, math, economics, business or other scientific or quant-focused field

123

Data Scientist Resume Examples & Samples

Partner with leaders to establish best practices for data collection and analysis
Assist in determining data warehouse and analysis tools to implement
Assisting with development of new data products following the LEAN principles - mvp/alpha/beta, rapid iteration

124

Data Scientist Resume Examples & Samples

Experience with Elasticsearch highly preferred, and/or SolR/Lucene
Script languages like PHP or Python
Experience with machine learned ranking strongly preferred
Proven track record of releasing features and optimizations into production

125

Data Scientist Resume Examples & Samples

Customer Focus - adding value to customers is our north star, so everything we do and build should be focused towards a real customer
Ability to wear multiple hats - data-science, dev, test, pm, and entrepreneurial skills
Ability to balance a portfolio - creating a balanced portfolio of projects that span low-risk/low-reward to high-risk/high-reward
Efficient calendar management - ability to manage your calendar/meetings in a way that provides you enough productive blocks of time to be hands-on and solving complex problems
Execution Efficiency – for any task, there is usually a way to do it 10x faster. We strive on optimizing the job for the need. One might approach a task very differently if they need one significant digit of accuracy versus ten
Knowledge of at least one scripting language (e.g. R, python, perl, etc)
Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

126

Data Scientist Resume Examples & Samples

Experience in a data driven environment delivering insight
Established presentation skills that enable insight to be taken from complex data sets or concepts
Have a Degree qualification in a quantitative field. (Statistics, Math, Physics, Economics)
Proven experience in an analytical/data scientist role
2+ years' experience with SQL/Oracle
2+ years' experience with statistics package (SPSS/R/Stata/SAS)
Strong working knowledge of Microsoft PowerPoint and Excel
Strong working knowledge of at least one programming language, e.g. python
Data validation
Data visualisation
Communicating insights
Knowledge of marketing concepts and media capabilities
Experienced stakeholder management
Project management experience or qualification
Digital media analysis, business focused analytics, advertising effectiveness analysis or other related statistical modeling experience
Comfortable with both self-management as well as working closely in a team as required

127

Data Scientist Resume Examples & Samples

Partner directly with Data Science leadership and regional field, Pivotal R&D, and customers/prospects to establish a robust vision for the build-out of Pivotal’s Security/IT Data Science capabilities
While managing existing team members, lead the recruiting and onboarding of a larger Data Science team that addresses analytical knowledge requirements
Drive evangelization and education of Data Science services to Pivotal’s sales force, in particular educating the field on how to communicate the vision and value of advanced analytics, how to qualify interested prospects, and how to propose Data Science services
While working with customers and prospects, leverage significant experience directly working with data to define analytics use-cases that address customer requirements for value generation, and partner with Data Scientists to execute on these
Advise customers and prospects on technology and tool selection to best meet their emerging analytics requirements and to best drive value-generation on existing and future data
Lead relationship development and technology evaluation for new prospective regional analytics-centric partnerships
Work directly with customers to educate them on Pivotal’s technologies, analytical use-cases, pros/cons of emerging tools, etc
Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management with regional customers
Travel, as needed, to meet with customers (roughly 15-20%)

128

Data Scientist Resume Examples & Samples

Work with technology domain subject matter experts (SMEs) to understand the data domain.
Gather requirements necessary to perform the analysis.
Investigate the use of machine learning or predictive models to leverage the knowledge gained from the analysis towards prevention or prediction of the analyzed events..
Present findings to SMEs, management and executives

129

Data Scientist Resume Examples & Samples

Advanced Degree in Computer Science, Statistics, Math, Engineering, or another quantitative discipline
Experience working with programming and scripting languages like Python, R and Java
3 - 5 years of experience in the use of advanced development, statistical analysis, or machine learning methods in a professional working environment
Industry experience with Natural Language Processing or Machine Learning
Substantial experience with the Big Data stack (Hadoop, Spark, NoSQL, Solr, HBase)
Professional working experience in the financial services industry

130

Data Scientist Resume Examples & Samples

Research, develop, and apply methods for measuring and analyzing the performance of our shopping search engine
Develop new search algorithms and methods for optimizing the value to end-users and improve customer retention
Research new ways for modeling and predicting end-user behavior
Lead investigation streams of product data, advise product team on new features and modules based on findings
Design, conduct, and analyze A/B tests
Design experiments to answer targeted questions

131

Data Scientist Resume Examples & Samples

Develop and maintain state-of-the-art large scale analytics to enable Humana strategy and overall clinical portfolio
Ensure and maintain data quality and reliability
Identify and recommend new data sources that will maximize analytic output and conclusions
Experience in manipulating and analyzing large data sets using technologies such as Hadoop
Ability to work efficiently in teams and/or as an individual
PhD Degree with a focus on natural language processing and text mining

132

Data Scientist Resume Examples & Samples

Development of predictive/prescriptive models
Design algorithmic solutions
Predictive Tools
Relational Databases

133

Data Scientist Resume Examples & Samples

Conduct exploratory analysis of safety cases in order to identify trends in abuse ecosystems by defining and evaluating metrics of user behavior
Lead quantitative analysis projects from start-to-finish including all aspects of data analysis and communicating results
Partner with engineers and cross-functional teams to present results and turn analyses into opportunities to mitigate future safety risk
Evaluate additional data sources that can be used to help identify new opportunities to signal bad actor behavior
Measure safety campaign and program performance by building and analyzing dashboards and reports

134

Data Scientist Resume Examples & Samples

Work closely with business owners to identify opportunities and serve as an ambassador for data science
Design and deliver enterprise analytic solutions to our customers
Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
Work in a highly interactive, team-oriented environment with Big Data developers and Visualisation experts

135

Data Scientist Resume Examples & Samples

Perform data analytics on large datasets to identify anomalies, undetected incidents, malicious activity, and trends that could be indicative of risk
Identify anomalous patterns in multi-dimensional phase space
Collate and analyze relevant events from network devices and hosts and calculate their correlation and causality
Visualize data and produce results that are valuable or actionable

136

Data Scientist Resume Examples & Samples

Develop, enhance and maintain customer lifetime value scoring assessment
Develop customer insights through statistical modeling, segmentation, quantitative analyses, and customer profiling
Effectively communicate results to executives
Perform advanced statistical analysis and modeling to solve complex business problems
Utilizes predictive analytics to develop insights, opportunities, and effectiveness of marketing initiatives
Develop, enhance and maintain customer lifetime value
Collaborates with cross-functional team in support of business case development and identifying modeling method(s) to provide business solutions
3-5 years experience required
MS degree in math, statistics, computer science or related field preferred
Prior experience utilizing SAS, R, SPSS, SQL, or similar large database application is desired
Exceptional analytic, strategic, and problem-solving skills
Exposure to digital analytics tools a plus (Adobe Omniture, Google Analytics)
Passion for data analysis and modeling, with strong analytical and SQL skills

137

Data Scientist Resume Examples & Samples

Extensive experience in Data with a specialisation in Data Science
Ability to perform end-to-end data science process (Understanding of problem, solution definition, data requirement definition, algorithm selection, algorithm training and evaluation etc.)
Extensive experience with statistical programming environments
Proficiency with SQL and experience with one or more DB query clients (e.g. MySQL)
Capable of analysing and manipulating data
Experience with R, Map/Reduce, HIVE/Pig, MongoDB
Experience in working on a portfolio of early stage initiatives through to successful delivery
Experience of working on the delivery of complex programs involving multiple stakeholders across different geographical locations with a significant amount of uncertainty
A bachelor's degree with ideally a PhD qualification (Maths/Statistics/Innovation/Banking fields desirable)
Experience working with innovative and emerging technologies

138

Data Scientist Resume Examples & Samples

Implements activities that impact singular components / processes of the work of own unit / team / projects
Assigned to initiatives that support business decision making for multiple business functions
Develops and executes statistical and mathematical solutions to business problems within business unit
Documents projects including business objective, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics
2+ years of progressively complex Data Science or analytics experience

139

Data Scientist Resume Examples & Samples

Work with large scale complicated data and fuse them with other enterprise data sources (such as claims, demographics) to analyze, predict, quantify, and/or forecast various business/health metrics
2-4 years’ Experience working with very large and complicated data
Experience with SAS and SAS Enterprise Miner or other analysis packages
PhD Degree in Computer Science, Informatics, Statistics or a related field
Experience with large data sets and/or the analysis of complicated healthcare data
Experiences with pilot study designs and outcomes analyses, and their applications in healthcare
5+ years of experience with SAS and SAS Enterprise Miner

140

Data Scientist Resume Examples & Samples

Ingest massive volumes of structured and unstructured format data, model, transform and store it in variety of data stores
Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling
Collaborate with Data engineering and operational teams to deploy models and algorithms in production, across different channels and customer platforms
Create and apply model and algorithm testing strategies to measure conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes
University degree in relevant STEM disciplines (Mathematics, Computer Sciences, Electrical/Computer/Software Engineering)
Experience cleaning, transforming and visualizing large data sets working with various data formats (e.g., XML, JSON, flat files)
Hands-on experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark) and experience with NoSQL databases (e.g., MongoDB, Hbase or CouchDB)
Production experience with experimental design, statistical analysis, machine learning and predictive modeling (e.g., cross-sell, upsell, attrition, acquisition and lookalike models)
Programming skills in Java, C++ or Python
Experience with common machine Learning libraries in R, Python, Spark

141

Data Scientist Resume Examples & Samples

KEY: An aptitude for solving problems, a never say die attitude, an entrepreneurial spirit, and a desire to unlocking multi-millions worth of unique data
4+ years of experience or 2+ years with graduate or PhD of exceptional data mining, statistical analysis and coding to work
Fluency in big data technologies and strong skills in a statistical programming language such as Python, R or Scala
The ideal candidate will have work experience on the Amazon cloud platform and working in Spark, Redshift, Parquet is a plus
Passion for understanding and helping others understand how the MapQuest data and information can be leveraged everyday across B2C and B2B products
Turn significant amounts of data into informative/insightful actions through various statistical techniques that turns into explosive business results (not sweating the small stuff)
Strong preference for an undergraduate degree in engineering, statistics, or mathematics; graduate school or PhD (e.g. applied mathematics, statistics, physics, computer science, operations research) work a big plus
Skills with analyzing and deconstructing very large data sets

142

Data Scientist Resume Examples & Samples

Analyze large datasets, interpret trends, and identify actionable insights and opportunities
Combine business and product knowledge with historical data to build forecasts in Excel, R, and/or Python. Analyze sources of variance
Communicate results and recommendations to business leaders in a clear, actionable, and engaging way
Engage with other departments to stay up-to-date on the latest product developments and develop revenue incrementality models for new businesses

143

Data Scientist Resume Examples & Samples

Experience with statistical programming environments (R, SPSS etc.)
Experience with Hadoop, Hive, Pig or Python
Experience with Java (Map/Reduce) a distinct advantage
Experience with statistical and quantitative modelling, forecasting, and trend analysis
Experience with machine learning techniques
Ability to handle multiple projects and assignments under time pressure
Excellent communication skills and the ability to manage multiple and diverse stakeholders across businesses and leadership levels

144

Data Scientist Resume Examples & Samples

M.S. or Ph.D. in a relevant technical field, or 4+ years experience in a relevant role
Proven success in solving analytical problems using quantitative approaches
Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
A strong passion for empirical research
Familiarity with relational databases and SQL
Experience with machine learning solutions and pattern recognition techniques
Strong math background
Experience working with large data sets, experience working with distributed computing tools a plus (Spark, MapReduce, Hadoop, Hive, etc.)
Proven ability to quickly prototype in languages like Python, C++, Java, Scala
Ability to design efficient algorithms for accessing and analyzing large amounts of data
Familiar with batch processing/real time systems like Flume, Kafka, Storm

145

Data Scientist Resume Examples & Samples

LI-JB1
Knowledge of predictive modeling techniques such as regression, optimization, clustering, neural networks, etc
Experience data munging, wrangling, and other fun adjectives to create workable datasets
Experience working in a matrixed environment
Experience with retail analytical problems such as market mix modeling, demand modeling, optimization, merchandise planning, forecasting, inventory optimization, and supply chain optimization preferred
Knowledge of BI related principles such as ETL, data modeling, & data warehousing preferred
Experience using Hadoop and related toolsets to analyze Big Data preferred

146

Data Scientist Resume Examples & Samples

Develop and maintain a suite of predictive analytics to drive consumer engagement in Humana’s clinical activities
Develop statistical models & methodologies to predict, quantify, and/or forecast various business/health metrics
Provide expertise and assistance in implementing model results in ongoing business processes
Identify and recommend new data sources that will maximize analytic output and Create customized reports with a team of analysts
Master’s Degree in Math, Statistics, Engineering or a related field
2+ years statistics and modeling experience
Experience using modeling tools such as SAS and/or SPSS
Experience building and maintaining analytic data sets
Proven ability with data mining and/or predictive modeling techniques
Proven ability to effectively communicate results of statistical models to broad audience, including senior leadership
Experience with health care data, including Medicare/Medicaid
Advanced experience with statistical analyses and modeling techniques including propensity score matching, multivariate statistical modeling, and neural networks
Experience with large data sets and/or the analysis of patient-level healthcare data

147

Data Scientist Resume Examples & Samples

Have open minded thinking on analysis problems
Have the ability to pivot and investigate data from multiple angles
Have the ability to use an appropriate degree of precision in answering hypotheses
Be agile and efficient in performing analyses
Strong problem solving and analytical skills, with passion for big data. Deep seated curiosity about finding interesting patterns in data, and formulating and testing explanations
Good grounding in state of the art machine learning techniques and statistics is a must
Excellent technical and functional design skills in the data analysis space are required. Strong knowledge of at least one leading big data analysis tools like Azure ML, RStudio, Python, Pig/Hive
Good understanding of map-reduce and cluster computing
Knowledge of stream processing systems (Spark/Storm) would be a bonus
Knowledge of real time monitoring, analysis and log search tools like Splunk would be a bonus
Good written and oral communication skills
Ability to collaborate with PMs to achieve success on data insights projects, and ability to build relationships and work in a team
2 years of experience as a Data Scientist or Analyst on large and diverse data sets, preferably on a map-reduce cluster computing platform (eg. Hadoop, Pig/Hive)
Experience with big data systems to deliver insights and predictive analytics preferred
Experience in agile software product development cycle a plus

148

Data Scientist Resume Examples & Samples

A keen strategic and analytical thinker with the ability to put complex ideas into clear frameworks, and use data to drive innovation
Embodies the work ethic and personality that thrives in a fast-paced culture with tight deadlines, shifting priorities, and matrix managed responsibilities
Seeks to identify root causes and recommends solutions to avoid repeat of problems. Shows a high level of skills in breaking down problems into their essential elements, carrying out a diagnosis and developing a solution
Continuously seeks out improvement and innovation opportunities in analytic technologies that have immediate and meaningful impact on business. Provide a source of high quality ideas
Collaborates with peers across the broad organization on ideation and innovation. Provide technical knowledge and thought leadership to the broad analytic community in the area of expertise
Stays optimistic, maintains the “can-do” attitude, not afraid to try out solutions to problems. Takes measured risks and maintains an entrepreneurial spirit that breaks down barriers to promote new and creative ways to meet goal
Has the ability to identify and involve the right resources to accomplish projects. Knows when and where to get data and how to apply scientific and academic expertise to decisions
Bachelor’s degree in a quantitative field
3+ years of professional experience
Proficiency in SQL, relational databases: Experience with Teradata and data warehousing methodologies a plus
1+ years with Big Data technology: Hadoop framework: Hive, Spark, HBase, etc
Experience in a statistical software such as SAS, R
Working knowledge of scripting or programming languages (Python, Java, Scala, etc.)

149

Data Scientist Resume Examples & Samples

Solid understanding of data structures and databases in structured & unstructured environments
Versed in statistical analysis packages, such as SAS, R, RAT, SPSS, etc
Demonstrated experience in Data management tools; relational databases (such as Oracle, Teradata, SQL Server), Data Manipulation tools (such as DataStage, Informatica)
Working knowledge of newer data technologies such as Hadoop, MapReduce, MogoDB, Oracle Exalytics
©2015 Teachers Insurance and Annuity Association of America-College Retirement Equities Fund (TIAA-CREF), 730 Third Avenue, New York, NY 10017 C23921

150

Data Scientist Resume Examples & Samples

Experience in building a data pipeline to enable data integration from disparate sources
Experience in supporting and maintaining data and database systems to meet business delivery specifications and needs
Outstanding cross group collaboration skills with a proven track record of achieving high impact results through collaboration
2-5 years Big Data manipulation tools (COSMOS, Scope, Hadoop, HDInsight)

151

Data Scientist Resume Examples & Samples

Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
Develop and evaluate the performance of predictive statistical & econometric models
Collaborate with internal consulting teams to set analytic objectives, approach and work plans
Translate analytical model results to business insights for the client
Ph.D in Quantitative field such as Statistics, Economics, Mathematics, Physics, Operation Research, Industrial and Systems Engineering, Quantitative Finance or related decision science fields
Strong programming skills in MATLAB, R and/or SAS required; some experience with SQL
Good collaboration and communications skills

152

Data Scientist Resume Examples & Samples

To develop propensity & severity models to predict customer behaviour and engagement
To create complex algorithms to optimize business outcomes and customer life-time value
To analyse the drivers of purchasing decisions and apply pricing strategies
To create data/ models and compile insight from complex analysis
Msc in a Quantitative discipline, MBA (top business school) or PhD (Preferred)
An enthusiastic drive towards creativity for quantitative methods
Strong quantitative technical abilities
Knowledge of tools such as SAS, R or SQL
5+ years of experience in statistical modelling, quantitative analysis

153

Data Scientist Resume Examples & Samples

Bachelor degree in Computer Science or Mathematics
Masters in Machine Learning, Statistics, or a Physical Science (Physics)
PhD in Machine Learning, Statistics, or a Physical Science (Desirable)
Linear models
Non-linear models (neural networks, random forests, SVMs, bayes networks)
Clustering
Modelling/Machine Learning

154

Data Scientist Resume Examples & Samples

Work with the global Business Analytics and Optimization leader and the IBM Insides Sales management team to develop a portfolio of projects that will drive competitive advantage for IBM Inside Sales
Manage your portfolio of projects and relationships with key stakeholders
Develop data and analysis requirements, collect data, prepare data for analysis, conduct analysis, quality-assure findings, interpret findings in their business context, assess business implications, develop recommendations, and promote their adoption for business impact
Employ appropriate types of analysis techniques, including statistical analysis and optimization, to describe behaviors, explain relationships, make predictions, measure performance, control outcomes, optimize actions
Harness domain knowledge of sales and marketing techniques along with IBM’s suite of products and services to maximize impact on strategic objectives
Delivernew actionable insights for “smarter selling” based on solid evidence in data, along with clear articulation of the benefits and the implementation strategy
Engage with IT leadership to drive data availability and to embed analytics into systems and processes

155

Data Scientist Resume Examples & Samples

Analyze and process huge amounts of data by using data mining, statistics, and database techniques
Research and exploration in the areas of social search, social networking, machine learning, text mining, web search, relevance, recommendations, classification, and clustering
Develop techniques and algorithms for mining large social data sets
Design and carry out experiments to evaluate results and their real impact on Bing production systems
Solid computer science background (MSc/PhD; PhD degree preferred)
Extensive knowledge and experience in at least three of the following areas: information retrieval, social networking, web mining, machine learning, query log analysis, user modeling, NLP, clustering, classification, parallel and distributed computation
Strong algorithm background and very good understanding on how to apply advanced knowledge to solve real problems
Solid experience in very large real world data processing/analysis especially with web/social data
Proven track record in advanced product development and/or applied research

156

Data Scientist Resume Examples & Samples

Large Rectangle: they know everything on the list below in depth and breath. However, they only exist in mythology
Linear Methods for Regression,
Lasso, Ensemble Learning,
Boosting,
Resampling,
Bootstrap,
Classification,
Kernel Methods, etc
Non-Parametics Methods,
Multivariate Analysis,
Time Series Analysis,
Baysean Methods
Linear programming
Quadratic programming
Nonlinear programming
Mixed-integer programming
Mixed-integer nonlinear programming
Second-order cone programming
Global optimization
Constraint programming
Neural Networks,
Genetic Algorithms,
Random Forests,
Swarm Methods

157

Data Scientist Resume Examples & Samples

Previous experience with information retrieval is highly desirable
Passion for leveraging technical solutions aligned with long term strategy with incremental deliverable outputs would be appreciated
Strong interpersonal communication and collaboration skills
Ability to work on data mining , data science projects with application engineering, quality engineers and product management
Ability to mentor other data scientists and engineers
Passion to stay on the cutting edge of data science

158

Data Scientist Resume Examples & Samples

Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis
Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations
Acquires and uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature, and applies his or her own analysis of scalability and applicability to the formulated problem

159

Data Scientist Resume Examples & Samples

Work closely with various teams--especially Product, Business Operations and Marketing--to identify and prioritize what questions we need to answer
Build production systems to analyze internal data and create new data points
Build reports and tools to visualize the data in a way that goes beyond a quick trend chart
A strong understanding of statistics and experience using statistical software (R, SPSS, SAS, etc.)
Fluency in SQL and prior programming experience (preferably with Python)
Strong working knowledge of Data Mining and Machine Learning techniques
Experience working with large data sets and distributed computing (Hive/Hadoop)
Experience with Tableau or other reporting tools
Good communication skills that can deal with diverse types of people from Data Science, Marketing, Finance, Product Management and QA groups

160

Data Scientist Resume Examples & Samples

You will be the resident expert on all matters related to the collection, implementation, evaluation and interpretation of the tests that improve our business
Exploring new avenues for enhancing performance by harnessing cutting-edge technology and academic ideas
Your goal is to lead the company on successfully using data to make accurate, consistent, data-driven decisions and develop the tools and infrastructure to make your ideas a reality

161

Data Scientist Resume Examples & Samples

Identify opportunities for further increasing the accuracy of fit models through analysis of True Fit and partner data
Participate in the development and prototyping of new analytic products to optimize fit, flatter, and fashion of apparel and footwear
Develop insights and metrics for retail partners that support their site marketing and personalization efforts. Specify analytics tools for retailers
Bachelor's or Master's degree in a quantitative field with work or research experience including a significant statistics or quantitative analysis component. Applicable fields include, for instance, applied mathematics, statistics, experimental physics, astronomy, chemistry, engineering, computer science, etc
Experience developing and applying data analysis or machine learning methods to extract value from real-world data
Familiarity with machine learning techniques and advanced statistical tools (e.g. R, python, pandas, scikit-learn, etc.)
Experience with collaborative filtering and/or customer preference data analysis a plus
Experience analyzing data stored in relational databases; experience with SQL
Highly motivated self-starter and can do attitude
Impeccable values and integrity; no exceptions

162

Data Scientist Resume Examples & Samples

Work directly with individual studios to develop analytical best practices for measurement and design of games
Establish core measurements and methods that can be used across multiple games
Model player experiences using decision tree analysis and multivariate regression analysis
Collaboration with data modeling and visualization teams to incorporate best practices into sprint planning
Recommend new architectural designs and enhancements to existing data systems in order to optimize for high speed, low latency reporting and self-service analytics for game producers and designers
5+ years of business intelligence and analysis experience
Experience implementing statistical techniques such as multivariable regression and clustering analysis
Working knowledge of one or more of the following: R, Matlab, JMP, or equivalent statistical modeling

163

Data Scientist Resume Examples & Samples

Develop appropriate methodologies and processes for collecting, analyzing and presenting data and the resulting information as it relates to fraud prevention and scoring
Build probability studies and performing statistical analysis to determine potential financial crime patterns and activities
Leverage learning engines, feedback methods, behavior analysis to define and investigate risk elements within transactions
Build and maintain first-party tools and source and integrate third-party tools for insightful analysis and persuasive and attractive presentation of big data sets
Conduct assessment of existing analytics tools and determine opportunities to enhance existing capabilities and increase quality
Provide Subject Matter Expertise in interpreting suspicious transactions, data mining analysis, external intelligence and metrics

164

Data Scientist Resume Examples & Samples

Product Recommendation and Personalization : providing personalized product recommendations and user experience for sports fans in e-commerce sites as well as on emails
Inventory optimization : forecasting demand and optimizing the quantity and location of inventory
Product ranking : developing ranking schemes for products in online search and site landing pages to optimize site experience
Pricing and promotions : models and algorithms for relevant pricing and promotions for products and customers over time

165

Data Scientist Resume Examples & Samples

An MS or PhD in subjects ranging from mathematics, astrophysics, to cognitive neuroscience
Strong skills in statistics, probability, and/or machine learning
Fluency in R, Python, or Julia
Experience with relational databases / SQL
Experience using Dynamo, Cassandra, Hbase, or other non-relational DB
Scrappiness and can thrive on autonomy
An innate curiosity and bias to action
The ability to identify what’s important, and what’s not
High skill in data visualization (big plus)
The ability to recognize that simple is sometimes best (Occam was right)

166

Data Scientist Resume Examples & Samples

Work with the latest technologies in the field of machine learning and big data analysis
Uses analytical rigor and statistical methods to analyse large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models)
Produce analysis of historical patterns in user behaviours and/or product performance from complex real-world behavioural data
Work for the global leader in virtualization solutions from the desktop to the datacentre
Make an impact on your career, your team and company
Voice your creative solutions to new and existing problems and watch them become initiatives
Learn from an approachable, responsive executive management team and high calibre colleagues
Thrive in a unique work environment where the emphasis is on excellence, innovation, openness, collaboration and balance
Earn a competitive salary and performance-based bonuses and increases
Grow professionally and personally by accessing our in-house learning & development opportunities & education assistance program
Advance your career in our strong promote-from-within culture
Enjoy a generous benefits package that really take care of your needs and unexpected perks that make working here fun
Bachelor’s or Master’s Degree in the field of Applied Mathematics, Statistics or Computer Science
Strong knowledge in linear algebra, calculus, statistics and numerical analysis
Knowledge in machine learning fundamentals
General Programming Knowledge - data structures, algorithms, memory management, etc
Good analytical and problem solving skills
Passion to innovate, learn and share knowledge, invent and patent new algorithms and technologies
Excellent communication skills and fluent English (speaking/reading/writing)

167

Data Scientist Resume Examples & Samples

Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process
Select and use the best analytics algorithm which is fit for the business purpose and work with development teams to ensure it can be implemented as part of a delivered solution replicable across many clients
Create actionable insight through data mining and exploration
Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
Background in Healthcare Analytics preferred
Experience in open source coding and communities desirable
Proven track record of analyzing data and bringing value across a range of projects

168

Data Scientist Resume Examples & Samples

Bachelor’s Degree in Math, Engineering or a related field
Prior statistical experience
Experience using Structured Query Language, SAS and/or SPSS
Graduate Degree in Applied Sciences or Statistics
Understanding of experimental design
Experience with large data sets and/or the analysis of patient-level healthcare
Knowledge of Oracle

169

Data Scientist Resume Examples & Samples

SQL (PostGre Preferred but not essential)
Python or R (Ideally both)
Sisense / Tableau / Qlikview
Spark

170

Data Scientist Resume Examples & Samples

Handling large amounts of data using various tools, including your own. We prefer Java, C++, C# as well as Hadoop, Hive, Pig, Spark but are open to all languages
Understanding the data generated by experiments, and producing actionable, trustworthy conclusions from them
Building data manipulation, processing, and visualization tools and sharing these tools and your knowledge across the team, ASG, and Microsoft
Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, regression, classification, and optimization are core lingo
Data hacking skills and knowledge in various analytical programming languages. We prefer Java, C++, C# as well as Hadoop, Hive, Pig, Spark but are open to all languages

171

Data Scientist Resume Examples & Samples

Minimum of 5 years work experience and an advanced degree in a quantitative discipline (like, mathematics, statistics, economics, operations research, computer science, physics, etc.)
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), and optimization algorithms
Ability to comprehend and analyze business needs and translate into technical requirements. Experience working with large datasets using tools like SQL, Hadoop, MapReduce, Pig/Hive, Spark/Shark, and Integration tools (like Alteryx, Birst, Lavastorm, Pentaho, etc.)
Experience in using statistical modeling and distributed machine learning algorithms on large data sets. Proficiency in the use of statistical packages like R, Matlab, SciPy or Weka
Experience with SQL, Unix/Linux, and a scripting language such as Python, Perl or Ruby. Expertise with shell scripting and automation

172

Data Scientist Resume Examples & Samples

Promote and demystify data science to business users
Support analytics use case prioritization and roadmap creation
Proactively identify new analytical use cases / data driven business opportunities
Show thought leadership in shaping a holistic Big Data Strategy for the adidas Group
Deliver guidance in terms of analytical tool and capability requirements
Deliver guidance for skillset development in the fields of statistics and machine learning
Pro-active (engaging & impact-oriented) mindset, ability to think end-to-end
Ability to work in a fast-paced environment with different international cultures
Business mindset: very good numerical and analytical skills
Good communication (both written and verbal) and facilitation skills (small and large groups), especially when interacting with different levels of business
Fluent English (verbal and written),
Strong MS-Office skills (Word, Excel, PowerPoint)
A degree in Statistics, Computer Science, Mathematics, Engineering or other relevant field
Minimum of 4 years of hands-on data analytics experience
Strong expertise in statistical analysis, algorithms, data mining/machine learning techniques
Strong know how in data mining tools and languages (ideally R)
Strong business understanding
Solid IT skills, especially in database modeling and languages

173

Data Scientist Resume Examples & Samples

Dive deep into data to find key insights that impact and enhance product design
Develop models of usage and user behavior leveraging application telemetry data
Build key predictive, regression, causal, time-series & optimization models
Surface actionable recommendations that deliver business value
Show strong passion for delivering business impact by unearthing deep insights from data
3+ years demonstrated history of innovative thinking and problem solving skills in Big Data problems
B.S. and/or M.S. in Computer Science, Statistics, Mathematics or similar quantitative field

174

Data Scientist Resume Examples & Samples

Develop and maintain state-of-the-art large forecasting analytics to enable Humana strategy and overall clinical portfolio
Work with large scale time-series data and fuse them with other enterprise data sources (such as claims, demographics) to predict, quantify, and/or forecast various business/health metrics
Collaborate with IT, operation and business teams in implementing forecasting analytics in ongoing business processes
Working with very large and unstructured data
Time series data processing and mining
Manipulating and analyzing large time series data sets using technologies such as SAS
Programming languages such as Python, Java and/or R
Building and maintaining large and dynamic analytic data sets
Effectively communicating analytics finding to broad audience, including senior leadership; and
Microsoft Office applications
0-5% travel to various unanticipated locations for professional conferences or meetings may be required

175

Data Scientist Resume Examples & Samples

Generate actionable insights to improve Bing Ads product, both in the short and long term
Work closely with various feature teams, evaluating the feature impact across all the marketplace stakeholders
Develop analytical frameworks, tools and technologies needed to model data across multiple dimensions or user, advertiser and publishers
Be a strategic advisor: Partner closely with across various teams to inform, influence and support business decisions around feature releases
Drive presenting insights and recommendations to leadership teams across various projects
Share best practices and processes across teams
Good understanding of the Paid Search ecosystem
Strong analytical skills and technical background combined with keen business acumen
Entrepreneurial attitude and comfort with taking on multiple roles, sometimes outside of comfort zone
Detail oriented & thorough, with ability to understand and identify the key trends and levers that drive the business
Excellent verbal and written communication skills. The ability to clearly explain complex data and analysis is equally important as understanding it
The keen ability to spot outliers in data, the persistence to find what the cause is and drive to understand the unknown
Strong ability to apply abstract theory and expertise to solve real-world problems
Hands-on approach to data analysis with a strong focus on accuracy and quality
Self-starter with proven record of working independently and collaboratively in a demanding interdisciplinary team environment
Track record of success in dealing effectively with complex projects entailing frequent interaction with senior executives
Prior experience in a data analysis team
Knowledge of distributed computing systems like Hadoop, Cosmos
Prior understanding on Machine learning or statistical system is preferred
CS/Engineering, Economics or MBA with 3-5 years of professional experience
Previous work experience in online industry required; search industry experience a plus
Thorough knowledge and proficiency in working with large data sets, C or C++, SQL, MS Excel, and Powerpoint required
Basic knowledge of auction theory preferred

176

Data Scientist Resume Examples & Samples

Development of statistical models and algorithms
Work with business partners to translate business problems to actionable tools, insights and models
Understand ETL process and work to transform data to a form that is usable by models leveraging relational databases, key-value databases, etc
Build automated analytics reporting in response to needs from business partners across Hearst Corporation
Experiment with emerging technologies related to big data initiatives
Ownership of the various components of data science life cycle: data wrangling, data visualization (discovery), model generation, optimization, etc
Advanced degree in a quantitative field (e.g. Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research or other quantitative discipline)
Prior exposure to big data platforms, such as AWS cloud (S3, EC2, EMR, Redshift,etc.), Cloudera/Hadoop, Massively Parallelized DB and/or implemented machine learning / modeling in real world situation
Expertise with one or more: Python , Python ML Libraries, R, Spark, Mallet, VW, Weka, GraphLab, Scalable ML, Deep Learning or other ML libraries and tools
Experience solving problems using statistical and quantitative tools
Proactive, strategic thinker who has an ability to anticipate needs
Ability to communicate complex ideas/topics clearly and concisely to all levels of the business
Passionate about data, modeling, engineering, and driving business solutions

177

Data Scientist Resume Examples & Samples

Evaluate the current operational environment and identify opportunities to leverage advanced analytics
Develop presentations to summarize and communicate key messages to senior management sponsors and colleagues
Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group

178

Data Scientist Resume Examples & Samples

We are looking for professionals that enjoy working in a fast-paced environment where quantum physics nerds, functional programming geeks and visionary business guys design the future of ad-tech
You will provide expertise and technical leadership in mathematical modelling, statistics, machine-learning and algorithm design for big-data or real-time processing
You will take part in the design of new algos
Commercial professional experience in data-science ideally using Hadoop or Spark
You have good communication skills and can expose complex technical problems with ease
You have some experience coding in 2 of the following languages: Java, Python, C/C++, Scala, R, in a Unix-like environment

179

Data Scientist Resume Examples & Samples

Build and enhance machine learning models to learn Consumer Insights
Develop/Enhance in-house distributed machine learning systems built on Hadoop, Spark, R and Hbase
Machine Learning and Data Mining, or 3+ years of experience in a relevant role. (Particular areas of interests include supervised, semi-supervised or unsupervised learning, time series modeling, anomaly detection, graph or network analysis)
Production coding skills in Java or Scala
Experience in dealing with eCommerce Consumer Data
Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc)

180

Data Scientist Resume Examples & Samples

Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models)
Create deliverables and presentations that report methodology and results of analysis
Build customer centric models and optimization tools to support large scale projects that utilize online & offline data, structured & unstructured data, set top box data, and media/behavioral/attitudinal data

181

Data Scientist Resume Examples & Samples

Help define the firm’s data management strategy
Support innovation, technology selection and implementation of cutting edge build outs (where the requirement exists) in relation to data management
Support the entire lifecycle from concept to successful day to day integration and monitoring
Coordinate and collaborate with team members to deliver solutions globally for all lines of business
Establish secure configuration and cyber controls management
Define Cyber controls (standards) for core platforms understanding the complex and diverse nature of JPMC which must be implementable and measurable from a compliance perspective
Contribute toward an execution strategy that focuses on embedding security controls into existing practices to enhance effectiveness
Update applicable standards and procedures translating security requirements into easily understood controls
Maintain a deep understanding of the core discipline(s) for which you support (SME)
Assess data analytic approaches, requirements, and capabilities
Evaluate existing solutions and providing feedback to strengthen
Utilize emerging trends, technical reviews, security threats, business requirements, and architectural views in order to provide input on solutions
Collaborate with business and technology partners to understand the firm’s business goals, use of data analytics in business processes and requirements
Provide support in guiding business and technology partners on data analytic and data management matters
Collaborate on data analytic best practices, risks, interpretation of firm-wide standards, etc
Create design templates and best practices on data solution implementations
Ph.D. or equivalent experience, in mathematics, computer science, physical sciences or other quantitative discipline
Strong Java/C/C++ and SQL coding skills
Strong statistics/mathematics skills
Strong written and oral presentation / communication / visualization skills
Clustering techniques
Regression techniques, both linear and nonlinear
Machine learning techniques including supervised and unsupervised models
Proven delivery record for quantitative models and projects
Experience leading the development of data science projects and coordinating the activities of small teams with deep technical and analytical skills
Expertise in theory and practice of Statistics, Empirical Data Analysis, Machine Learning and Natural Language Processing
Experience and in-depth knowledge of Python and other modern programming languages
Experience in at least one specialized statistical computing environment, preferably R
Experience in practical data processing, data mining, text mining and information retrieval tasks
Experience of scalable data management tools including Big Data architectures a strong plus

182

Data Scientist Resume Examples & Samples

M. S. degree in Computer Science, Electrical Engineering, Aerospace Engineering or Mechanical Engineering
3+ year experience in MATLAB & SIMULINK
3+ year experience in software development using programming languages C and Java
Ph. D. degree in an appropriate engineering discipline
Experience in Python, R, and recent Big Data technologies (Hadoop, Spark)
Experience with Automotive control systems and vehicle dynamics
Experience in embedded systems
Knowledge of wireless modem and wireless communication
Experience with embedded system used for automotive systems
Knowledge of cloud computing
Knowledge of remote data storage and processing
Proven capability of innovations

183

Data Scientist Resume Examples & Samples

Familiarity with SQL and SQL database tools. Familiarity with Hadoop or similar distributed file systems is a plus
Experience working on a team that uses scrum or agile development methods
Understanding of cloud development principles and patterns such as streaming, loose coupling, and clean separation of services

184

Data Scientist Resume Examples & Samples

Masters or doctorate degree in computer science, statistics, mathematics, economics, or other quantitative-focused field (within six months of graduation)
We would like to have some with engineering experience using big data systems on SQL, Hadoop, etc. Familiarity with Hive, Pig, Spark, and Storm is a plus
Proficiency in SQL, R or Python, with demonstrable depth of coding skills
Experience performing data analysis and applying statistics concepts using tools such as: Excel, R, MATLAB/Simulink, AMPL, or SAS/JMP. Understanding machine learning principles and limitations is a plus. Familiarity with AWS, Microsoft Azure platforms is a plus
It would be helpful for some to have experience with product and service telemetry systems
Passion to learn how to be an excellent Data Scientist from your peers, manager, and other stakeholders
Ability to interact with peers and stakeholders to drive product and business impact
Strong interpersonal and communications skills

185

Data Scientist Resume Examples & Samples

Masters or PhD in a quantitative discipline
Strong background in algorithms, mathematics and/or statistics
Programming skills: Python, R, C++ or Java
Interpersonal and communication skills
Detail oriented attitude
Be open to learn and apply new technologies and programming languages
Data Science experience
Programming skills: KDB/Q, Angular JS
Relevant training in Computer Science, Mathematics and/or Statistics
Expertise in any of: machine learning, Bayesian inference, time series analysis, forecasting, optimization

186

Data Scientist Resume Examples & Samples

Minimum of a Master’s degree in a quantitative discipline, such as biostatistics, epidemiology, applied statistics, applied mathematics, or health economics
Experience working with data and exploring data with a critical and thoughtful eye
Excel at programming and have experience with Java, R and Python
Strong communicator, both oral and written
Self-motivated, thrive in highly uncertain situations, and enjoy coming up with elegant and innovative solutions to challenging problems
A “do-er”-- you know how to balance attention to detail with quick execution against tight timelines
Flexible and adapt well to complex challenges
Passionate about our mission to enable people with life-altering conditions to lead better lives
Highly-effective collaborator and are motivated by the opportunity to work with a cross-functional team at Shire

187

Data Scientist Resume Examples & Samples

Data sourcing, discovery and analytics using ETL (Extract, Transform & Load ) and Business Intelligence tools
Working collaboratively with Project Managers, Developers and End-Users to deliver working solutions and analytics in an Agile and Iterative manner
Taking direct involvement in the end-to-end system development lifecycle (SDLC), from solution requirements gathering and validation activities through to the production deployment
Creating models and reports providing interpretation and insight into business data
Conducting issue identification and analysis
Designing solutions
Carrying out hands on analytics and application of data science
Creating visualisation solutions for presentation to and use by senior management

188

Data Scientist Resume Examples & Samples

Interact with stakeholders to identify critical questions that need to be answered in order for the Analytics function to provide effective KPI’s -- actionable insights, rather than just reports
Conduct analysis and data modeling to draw insights that drive critical decision making and to uncover subscriber patterns, user consumption, and behavior
Assist in the coordination of data collection from various sources which may include contacting various groups outside the company to resolve questions, inconsistencies, and/or obtain missing data
Design and build dashboards and automated reports with embedded visualizations
Proven track record of identifying and highlighting key insights, signals, and trends deep within the underlying data
Experience publishing reports using visualization and presentation tools
SPSS and/or R
Bachelor degree in Mathematics, Statistics, Econometrics, Actuarial Science or related quantitative discipline

189

Data Scientist Resume Examples & Samples

Development of Machine Learning/Statistical Models and Algorithms
Working with business units to translate business problems to actionable tools, insights and models
Understanding ETL process and working with it to transform data to a form that is usable by models leveraging Relational databases, Document Databases, Key-Value Dbs, Timeseries databases, etc
Build automated analytics reporting in response to needs from stakeholders across the Hearst businesses
Experiment with emerging technologies related to Big Data initiatives for the Hearst Data Warehouse platform
Ownership of the various components of Data Science Life cycle: Data Wrangling, Feature Engineering, Data Visualization (discovery), Model Generation
PhD in a quantitative field (e.g. Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research or other quantitative discipline)
Prior exposure to big data platforms a plus e.g. AWS cloud (S3, EC2, EMR, Redshift,etc.) or Cloudera/Hadoop, or Massively Parallelized DB and/or implemented machine learning / modeling in real world situation
Expertise with one or more all:: Python , Python ML Libraries, R, Spark, Mallet, VW, Weka, GraphLab, Scalable ML, Deep Learning or other ML libraries and tools
Machine Learning or Modelling Experience in one or more of the following: NLP, Topic Modelling, Image Recognition, Deep Learning, Time Series, Logistic Regression, Random Forest, Neural Nets,(RNN,CNN), AE, Probabilistic Models: GMM, Bayes NP, RBM, Ensemble Models, Decision Trees, Boosting, Reinforcement Learning, Optimization
Passionate about Data, Machine Learning and Engineering
Strong interest in solving business problems
Extensive Linux/Unix experience
Experience with Amazon Web Service in a production environment, including EC2, RDS, S3, IAM
Experience with configuration management tools such as Ansible, Puppet, or Chef
Experience creating automation using AWS SDKs in Python
Experience with administering relational databases in a production environment
Experience architecting and supporting highly available and highly scalable infrastructure
Use of relational databases (postgres, mysql and/or Redshift)
Ability to troubleshoot and debug production issues under pressure
Experience with running Python applications at scale
Experience with PostgreSQL, Redshift
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Experience with Big Data tech such as Hadoop, Pig, Spark, etc
Self-starter who is excited about technology

190

Data Scientist Resume Examples & Samples

Coursework in mathematics, statistics, machine learning, and data mining
Well versed/ good understanding of programming languages like Java/Python in order to generate derived data
Outstanding interpersonal, communication and customer relationship skills
Multivariate statistical and machine learning algorithms, such as Principal Component Analysis, discriminant analysis, linear and logistic regression, k-nearest neighbors, classification and regression
Experience of applying advanced analytics and predictive modeling techniques
Proficiency in statistical tools like SAS, R, SPSS
Experience with Hadoop, MapReduce, PIG and relational databases and SQL

191

Data Scientist Resume Examples & Samples

Handling large amounts of data using various tools, including your own. All programming languages welcome, especially SQL, C#, R, and Python
Bachelor’s or Master’s degree in a quantitative field, and at least 4 years of relevant work experience. PhD preferred
Fundamental knowledge in applied statistics and mathematics: p-values, confidence intervals, etc
Data hacking skills and knowledge in various (analytical) programming languages, e.g., C#, R, SQL, Python

192

Data Scientist Resume Examples & Samples

M.S. in a science-based program with an emphasis on data analysis (e.g., Statistics, Computer Science, Mathematics, Physics, etc.)
Data storage experience with at least one of the following tools: traditional SQL, NoSQL data stores
General-purpose programming experience with at least one of the following tools Java, Python, Ruby on Rails, JSON, Javascript, REST-APIs

193

Data Scientist Resume Examples & Samples

Training in a quantitative science, including applied math, statistics, operations research, economics, or computer science. PhD preferred
Experience with languages used for querying (e.g. Hive/Pig/SQL), preprocessing (e.g. unix/python), and statistical analysis (e.g. R/Stata)
Proven achievements resulting from data analysis and ability to succeed in both collaborative and independent work environments
Nice to have: experience with payments, pricing, financial analysis, optimization, machine learning

194

Data Scientist Resume Examples & Samples

Acquiring and integrating internal and external data sources
Data mining of large datasets to develop insights and drive actions
Deliver high profile analytics projects following through the full end to end process
Driving overall performance by informing KPIs and ensuring strategies are backed by robust analytics
Data Innovation
Set up and maintenance of the data model
Good understanding of statistical analysis and the relevant current tools and techniques
Excellent technical skills - SQL, Data Mining, and Data Cleaning skills are essential
Experience with R, Python (w/ Pandas & SciKit) or some other appropriate scripting language
Well organized, analytical and capable of handling multiple projects and stakeholders
Strong commercial acumen and ability to self start
Ability to form and communicate complex solutions in-situ and to present findings clearly and concisely
Ability to work through own projects, to discuss issues clearly and to deliver high quality products on time and without scope creep
Passion for learning new skills and new approaches to data management
API usage for data analytics: e.g. Google Analytics, AlchemyAPI, etc
Computer science / software development background with data analytics
Hadoop-based frameworks and architects

195

Data Scientist Resume Examples & Samples

Machine learning, data mining and information retrieval
Extracting information from a wide variety of sources including quantitative, qualitative and big data sources
Data visualisation experience – Tableau / Qlikview / D3.js

196

Data Scientist Resume Examples & Samples

Collaborate with Analytics, Data operations and Information Technology teams to define how big data and emerging technologies can be best leveraged to support enterprise Data and Analytic capabilities
Manage Infrastructure capability roadmap related efforts such as prioritizing requirements and managing Proof of Concepts on emerging tools/capabilities
Develop and maintain knowledgebase on emerging Big data Analytic capabilities. Share best practices on emerging big data technologies with the broader team
Bachelor’s Degree in Computer Science or Mathematics
5+ years of hands on experience with Data operations and/or Analytics tools and technologies
2+ years of hands on experience with Big data and technologies including HDFS, Mapreduce, Pig, Hive, SPARK, STORM and NOSQL
1+ year of hands on experience with Data mining and Advanced Analytics
Strong project management and communications skills
Strong team player with ability to work effectively in cross functional teams
Demonstrated ability to think strategically about how technology and tool capabilities can be leveraged to create Analytic and Business value
Experience designing and developing analytic solutions using R, Python or Java
Inquisitive, proactive, and interested in learning new tools and techniques
Expertise in data access, transformation, and management in Hadoop
Familiarity with approaches and tools to manage and analyze Big Data
Experience with data visualization and data operations tools

197

Data Scientist Resume Examples & Samples

Advanced Degree (PhD preferred) with a focus on Analytics, Statistics, Operations Research, Mathematics, Business or Economics
5+ years of real world analytical solution building experience
Excellent communication skills and an ability to convey complex analysis clearly
Familiarity with a tools and languages such as R, PHP and Matlab
Experience with SQL or other relational databases
Experience with Google Analytics and DFP
Experience with Hadoop or other Map-Reduce data analytics processes
Experience with multivariate testing
Deep understanding of Facebook, Twitter, Reddit, YouTube, Instagram and other established and emerging social platforms
Experience with a news operations and video distribution is a plus

198

Data Scientist Resume Examples & Samples

MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine Learning and Forecasting
Expertise in the design and fundamental principles of statistical modeling, predictive modeling, and applying statistical models and machine learning in a corporate or product context
Documented experience working with large, complex data sets, advanced data modeling and designing analytical systems
At least 5 years of relevant professional experience, with demonstrated achievements and progressive responsibilities, or comparable research or academic experience

199

Data Scientist Resume Examples & Samples

5+ years commercial machine learning experience
A strong understanding of machine learning theory
Mid-level programming experience. Python, Java or C++ experience is highly desired
A principled approach to solving algorithmic problems with a focus on what will make users happy
A pragmatic approach to rapidly evaluating new algorithmic ideas
A very high attention to detail and ability to thoroughly think through problems
Excellent written and oral communication skills on both technical

200

Data Scientist Resume Examples & Samples

Distributed file systems and storage technologies (HDFS, Hbase, Accumulo, Hive)
A successful history of developing production-quality enterprise software using programming languages such as Python, C, C++, Java or Scala. Experience with R will be considered
The ability to function within a multidisciplinary, global team. Be a self-starter with a strong curiosity for extracting knowledge from data and the ability to elicit technical requirements from a non-technical audience
Strong communication skills and the ability to present deep technical findings to a business audience
Experience developing software within a large enterprise environment (agile or associated development methodologies, back testing, release management, JIRA)
An understanding of Unix/Linux including system administration and shell scripting

201

Data Scientist Resume Examples & Samples

Must" have these skills to be minimally qualified
Experience with big data technology such as Hadoop, Spark, Impala, or other NoSQL tools
Strong proven communication skills including the ability to convey complex issues in a simple and straight forward manner
Prior quant or data science experience leading complex projects to solve business problems
Broad understanding and experience of real-time analytics, NoSQL data stores (especially Graph Databases), data modeling and data management, analytical tools, languages, or libraries
Specific tools include R, Spark, MLlib, Kamanja, Javascript (D3), Python, and Java. Financial services experience
Advanced degree or advanced research in Machine Learning, Data Mining, Operations Research,
Applied Mathematics, EE, CS, or Computer Engineering

202

Data Scientist Resume Examples & Samples

"Must" have these skills to be minimally qualified
3-5 years experience in regulatory and compliance workstreams for Financial Services, especially CCAR and Stress Testing
Prior experience leading analytics projects and delivering executive-level insights and information products
Solid understanding of the application of statistical techniques such as decision trees, cluster analysis, and machine learning
Advanced degree in business (MBA), quantitative finance or computer engineering a plus
Experience with big data technology such as Hadoop, Spark, Impala, or other NoSQL tools including a broad understanding and experience of real-time analytics, NoSQL data stores (especially Graph Databases), data modeling and data management, analytical tools, and languages

203

Data Scientist Resume Examples & Samples

Demonstrate the ability to analyze, design, develop and implement solutions that increase customer value and embrace simplicity, speed, adaptability, and sustainability
Conduct exploratory data analysis
Perform statistical analysis; deploying models on large data sets
Demonstrate strong understanding of agile delivery
Develop code with Spark via Jupyter notebooks
Perform queries, aggregations, joins, and transformations using Spark, Hive, and Pig
Develop new data sets using feature engineering techniques
Deliver value by creating functions, classes, and packages to automate processes and workflows for production deployment
Strong ability to interact with internal customers and product owners to analyze a problem and clearly articulate a solution and plan
Act as a student of the business by partnering with teams to determine current and on-going needs, and gaining further knowledge into their processes
Evaluates user request for new/modified programs to determine feasibility, cost and time required, compatibility with current system, and computer capabilities
Proficient in green field product development, retail digital systems, complex API based integration, Restful API at scale, R, SAS, Python, SQL, MapReduce, Hive, Pig, and Spark
Mentors other team members in areas of expertise
Takes part in the On-Call 24/7/365 rotation to ensure our systems maintain high availability
The ability to demonstrate proficiency in statistical analysis, and the creation of data products
Forward-thinking business skills that enable collaboration and data mining with varied business units
Reliability and consistency in his/her ability to deliver on commitments
An eager drive to improve business processes, functions, products, and delivery to customers
As Masters Degree or PhD. in a science, math, or otherwise research-based field; 3-5 years of related experience and/or training; or equivalent combination of education and experience.If you are ready to drive our data platforms, by developing and implementing solutions that demonstrate value to our customers, apply now!

204

Data Scientist Resume Examples & Samples

Data sourcing, discovery and analytics using ETL (Extract, Transform & Load) and Business Intelligence tools
Work collaboratively with project managers, developers, and end-users to deliver working solutions and analytics in an Agile and Iterative manner
Direct involvement in the end-to-end system development lifecycle (SDLC), from solution requirements gathering and validation activities through to Production deployment
Creation of models and reports providing interpretation and insight into business data
Issue identification and analysis
Solution design
Hands on analytics and application of data science
Create visualisation solutions for presentation to and use by senior management

205

Data Scientist Resume Examples & Samples

Python / Java / Perl Scripting
SPARK
Statistics / Machine Learning / Data mining Methods - Quant / Text analytics
Classification Models – Logistic Regression, Naïve Bayes, CART, Decision trees, CHAID, Random forest, MaxEnt, Neural Networks, Support Vector Machines
NLP - GATE, Cluto clustering tool, Open Calais, social media site scraping, sentiment analysis
Statistics – correlation, regression analysis, Trend analysis, Descriptive analysis
Excellent Communication
Ability to pick up new areas and work
3+ Years exposure to developing enterprise class analytical insights on cloud/on-prem

206

Data Scientist Resume Examples & Samples

Help the team understand what our users are doing and why –Analytics (web and business intelligence), multivariate statistical analysis, data mining, and more
Define problems and opportunities – Analyze current behaviors while having the product team goals in mind
Create and show solutions – Create reports and data-driven recommendations to inspire designs and new ideas
Iterate based on “validated learning” – Conduct A / B or multivariate testing and analysis as you work with designers and others in the company
Deliver and follow through – Post-launch analysis on metrics and user behavior
Portfolio

207

Data Scientist Resume Examples & Samples

Formulate security detection problems to inform multiple dimensions of business issues using algorithms and data sources by partnering with Security Analysts and Penetration Testers
Extract data from various data sources, perform exploratory analysis, data curation and aggregation at scale to answer new or previously unasked questions
Determine analytics approach to solve business problems. Participate in building next generation of solutions in the domain of data science and supervised learning
Develop machine learning models end to end: data ETL, designing algorithms, script writing, testing and production deployment for WDG data sets
Analyze the applicability and scalability of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature
Automate machine learning models using a variety of tools both software based and statistical packages leveraging in-house big data platforms, R and Azure ML based frameworks
Provide clear, compelling and actionable insights as an input to business decision making process with the help of sound metrics
Influence the business through strong story telling using visualizations and/or other means backed by data and insights
Serves as analytic SME in discussions with business partners to identify business problems that can be solvable through data science and machine learning
5+ years working practice in quantitative analysis/machine learning/data science
BS/MS in Mathematics/Statistics/Computer Science/Engineering or other technical domain
In-depth understanding of statistics and algorithms
Advanced experience with Machine Learning concepts
Experience in R, Python, SQL or other analytical platforms
Experience in manipulating large data sets through statistical software (ex. R, SAS) or other methods
Development experience in at least one programming language
Ability to communicate the results of analyses in a clear and effective manner with customers and to executive leadership
Strong analytical, problem solving and interpersonal skills
Working experience in geo-diverse functional teams with shared goals
Proficiency in technical project management and technical research
Understanding of wide range Microsoft products, services, and platforms particularly Azure Machine Learning offerings
Advanced competency and expertise across Modeling & Machine Learning Techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, association rules, etc.) with exposure to applied business solutions
Working experience with Hadoop, R, Python, SAS, SQL and advanced programming skills

208

Data Scientist Resume Examples & Samples

Lead and participate in the execution of data related use cases with focus on data mining, forecasting, modeling, reporting, dashboarding etc
Analyze user requirements and create effective and efficient data related solutions
Develop data architecture strategies, principles, standards and frameworks. Analyzes and evaluates alternative tactical and/or strategic data architecture solutions to meet business requirements

209

Data Scientist Resume Examples & Samples

High level of analytical and critical thinking skills
Complex problem solving skills
Domain: Experience in Telecom domain is mandatory for the position. Prefer to have worked in following LOB - Landline business, Wire line Internet business, IPTV, Satellite Telephony, Mass market Communication

210

Data Scientist Resume Examples & Samples

Strong demonstrated consulting skills
Experience with leading services delivery teams and delivery management
Experience driving presales opportunities, leading customer workshops/briefings
At least one of the ML related technologies ( SAS, SPSS, RevR, Azure ML)
Data prep with industry standard ETL tools, R, Python, etc. and with Visualization tools (Tablue, QlikView, PowerBI, etc )
DW: Relational (Oracle, Teradata, Netteza, SAP HANA), columnar (RedShift, Vertica), noSQL (MongoDB, Redis, Cassandra - key-value stores, graph databases, RDF triple stores)
Languages: Java, Python, R, F#, C#

211

Data Scientist Resume Examples & Samples

Bachelor’s Degree in Computer Science, Engineering or Mathematics
5+ years of on the job experience with Data operations and/or Analytics tools and technologies including Alteryx, Informatica, Qlikview, Tableau and SQL
Master’s degree in Computer Science, Information Systems or Business
2+ years on the job experience with Big data and technologies including HDFS, Mapreduce, Pig, Hive, SPARK, Sqoop, Flume, Oozie, STORM, and NOSQL
1+ year of hands on experience with Data mining and Advanced Analytics leveraging tools like SAS

212

Data Scientist Resume Examples & Samples

2 - 5 years business analysis experience and/or related technical experience
Detailed knowledge of business analysis tasks, experience in elicitation techniques and competent in requirements gathering skills
Solid understanding of project management lifecycles, disciplines and procedures
Some domain knowledge of impacted business units. Demonstrated knowledge and experience in working on mid to large sized projects
Database ability (SQL and SAS) Excel/Access Microsoft Word
Can appreciate difficult problems and is a self-starter to work autonomously on tasks with a medium complexity, works collaboratively as part of a team and clearly represent consolidated findings

213

Data Scientist Resume Examples & Samples

Explore state of the art prediction methods
Efficient Inventory allocation
Clear communication of code design and implementation
Work with product managers for fast paced feature development
Linear Programming and Optimization techniques
Relational Database technologies
Analytic background

214

Data Scientist Resume Examples & Samples

Conduct rigorous statistical analysis, investigate and highlight behavioural trends emerging from usage
Recommend product hypotheses
Work with business partners and server-side BI engineers to rigorously define, analyse and further develop telemetry instrumentation and key performance indicators
Model effects of proposed new product features and identify their metrics for success
Effective prioritization: Strong focus on outcomes, high value work
Energetic, multi-tasking self-starter - able to deliver value rapidly
Excellent oral and written communication skills ability to communicate with a less analytical audience
Proven ability to elicit analytical requirements from non-technical leaders
Very strong presentation skills
Commercial grade statistical knowledge: statistical modelling, trial analysis
Experience in correcting for partial or distorted data sets
Expert in SPSS and/or R
Adept at identifying sources of error or bias that would lead to inappropriate recommendations
Minimum 5 years’ experience in a software, internet, or mobile services company
Ability to demonstrate having executed data driven strategies to launch new services or service updates with significant return on investment
Ability to demonstrate significant experience with analytics, data gathering, and data mining tools to guide business strategy in a software, internet, or games studio
A solid technical background is highly desirable including a passion for technology, online services, and billing
Excellent Hive, Pig, Hadoop and SQL skills
Strong communications skills both written and verbal including strong interpersonal skills and a proven ability to work with teams across multiple geographies
BSc, BEng, or MS in Computer Science or equivalent

215

Data Scientist Resume Examples & Samples

Master (or Specialist or equivalent) degree in Mathematics, Statistics, Computer Science or related field
Experience with Unix operating system family
Fluent English
Good understanding of MapReduce paradigm and practical experience with Apache Spark
Participation in Data Science hackathons/challenges, Kaggle, etc

216

Data Scientist Resume Examples & Samples

Modeling and mining large data-sets using technologies such as R, Matlab, SAS, SPSS, Jaql, Hive,
Mining techniques to find associations, correlations, evidence, inferences, clusters for big data analytics is key to perform the required job responsibilities
Hands-on expertise needed in agile data analytics experiments and creation/deployment of models and algorithm to analyze social, machine, text, sensor, streaming, large-volume structured as well as unstructured data
Experience in operations research, statistical modeling, simulation or deep data mining in specific domains required. This practitioner must be self-motivated, a fast learner, agile, a team player, eager to stretch and grow and possess challenging problems and be able to handle ambiguity

217

Data Scientist Resume Examples & Samples

Ph.D. or Master’s degree in computer science, statistics, physics, computational mathematics, machine learning, operations research, or a related quantitative discipline
10+ years of progressive experience with data science skills including big data analysis and statistics
An in-depth understanding of algorithms, data structures, machine learning, numerical methods, probability theory, information retrieval based approaches, techniques, and methods
A thorough understanding of database and distributing computing concepts (e.g., Hadoop, Hive, Postgres, SQL, graph database, etc.)
Skills in computational statistics and prototyping platforms such as R, Octave, Matlab, Mathematica, etc
Prior experience applying machine learning algorithms at scale in products
Background in mining large sets of data and the ability to interpret and clearly visualize data
Software engineering experience and familiarity with one or more of the following (C/C++, C#, Java, Python, Assembly)
Familiarity with harvesting data from different endpoints, databases, APIs and other sources of information
Active professional security certifications (e.g., CISSP or other similar industry qualification)
Strength in both business and technical requirements analysis
Possess a strong technology background with the ability to challenge or validate technology decisions from a position of knowledge and experience
Possess the ability to rapidly assimilate business strategies, coupled with the insight to seize high impact opportunities by applying creative problem solving solutions
Track record of managing across multiple global locations, with a solid understanding of the challenges and benefit
Experience of working in a matrixed organization, achieving goals through partnership and collaboration
Have a proven track record of executing on a strategic technology roadmap

218

Data Scientist Resume Examples & Samples

Hands on experience in data mining and machine learning methods like SVM, Regression Modelling, Survival Modelling, Time Series Modelling, Market Basket Analysis, CART, Artificial Neural Networks,
Experience in Predictive Analytics in asset intensive industries, in particular failure prediction on complex equipment using large volumes of structured or unstructured data
To have: track record of thought leadership in advanced analytics
To have: understanding of Big Data Platforms (e.g. Hadoop), and visualization tools (e.g. Cognos)
To have: experience with Agile delivery methodology

219

Data Scientist Resume Examples & Samples

Data Management Experience
Strong Metadata and Data Controls Experience
Strong understanding of database concepts like (views, primary keys, table joins)
Strong excel skills (vlookup, pivot and other excel analytics features)
Excellent SQL skills (SQL and Transact SQL)
Heavy hands-on experience on Teradata and SQL Server
Technical: ETL, DB development, SQL, Teradata, Quality Center, Macros, Excel/Access, PowerPoint, Perforce
Ability to interpret data lineage, data controls
Ability to work in a fast paced environment to drive Quality goals while meeting aggressive delivery deadlines
Self Starter/ Proactive
Ability to develop and convey a point of view
Ability to quickly navigate a complex organization
Strong verbal and written communication ability
Collaborative and takes ownership to ensure the quality of the product
Test Automation Understanding and Experience
Ability to pick up new tools and concepts swiftly
Audit or examination experience that includes designing and executing assessments or exams
Sharepoint User and some development experience
Business Controls & Monitoring experience
Strong Project Management skills and the ability to delivery multiple efforts concurrently
Knowledge of risk management processes at large complex banking organizations
Experience in developing and executing Quality Assurance and Quality Control processes

220

Data Scientist Resume Examples & Samples

Employ statistical / econometric / data mining techniques to assess, monitor and forecast different sources of risk
Develop optimization frameworks to support models related to risk allocation, pricing, capital strategy to improve and guide business decisions
Support the deployment of analytical tools related to quantitative risk management. Maintain and enhance previously developed models and tools
Work with various data sources and platforms (PC, Mainframe, Unix/Linux, Teradata)
Master’s degree in Statistics, Economics, Mathematics, Physics, Operations Research or Quantitative Finance
2+ years of experience in a business or academic setting
2+ years of programming experience in R, MATLAB, or SAS
3+ years of experience in statistical, econometric, or mathematic modeling
Experience with large scale data manipulation and mining / pattern recognition
Proficiency with simulation techniques such as Monte Carlo
Knowledge of models with limited dependent variables (e.g. choice models, selection models)
Experience with C# and/or JAVA for developing Windows and Web applications
Experience with parallel/grid computing

221

Data Scientist Resume Examples & Samples

Work with business partners to support overall eBay business optimization
Apply advanced statistical/econometric modeling tools to develop robust predicative models to support business initiatives
Conduct and manage applied research and modeling work in the areas of supply & demand gap, trending, seasonality, event inventory recommendation, …etc
Utilize data mining technologies and various data sources like eBay user behavior data, inventory data, transaction data in both batch and real time mode
Provide complete solutions to business problems using data mining techniques, statistics and data analysis
Learn from the world class expertise in the data and science areas

222

Data Scientist Resume Examples & Samples

Design and optimize fast detection algorithms/rules in the very large financial monitoring system based on extensive data mining and statistical analyses of the system
Implement, test and monitor new algorithms/rules. Maintain high quality code and documentation. Assure efficiency/stability and scalability of the solution
Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Access, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures
Provide Data pulls and reports directly from Oracle Database. Write efficient SQL and PL-SQL queries in complex Very Large Scale database environment. Monitor time and capacity used during query execution, design efficient query execution plans
Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS and Oracle database. Run quality checks against database and report all data issues. Detect and report data anomalies, perform trace-back analysis and identify source of data problems. Recommend data quality solutions
5 years of experience in data mining and SQL, PL-SQL programming
Minimum of 5 years of experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
Minimum of 2-3 years of experience with SAS
Experience with very large transactional systems, processing large volumes of data
Strong programming skills (SAS 4GL, PL-SQL, VBA, Python, Perl, Bash)
Strong statistical/data analysis skills
Data visualization and automation of data processing pipelines

223

Data Scientist Resume Examples & Samples

Content processing
Delivery
University Degree in IT or equivalent
5+ years of relevant experience in data analysis, using relational databases, ETL processes, and analytical reporting preferably in publishing or media industry
Experience in using Big Data tools is preferred, proven experience in dealing with large (big) data sets and database platforms is required
Understands the research world and agendas of Institutions, Governments and Funding bodies with regard to research performance evaluations, planning and funding
Solid and proven analytical skills, combining strong eye for details with a good holistic view
Able to understand clients’ needs and to convert them into clear technical requirements
Identify and understand issues, problems, and opportunities and using effective approaches for choosing a course of action or developing appropriate solutions
Able to connect different functional units to deliver timely high quality results and excellent communication and presentation skills
Organized and clear approaches in addressing market needs, flagging risks, developing and executing resolution plans
Fluent in English, preferably a native speaker
27 days of leave
Solid Pension Plan, with a choice between a collective pension plan an individual pension plan
You can participate in the convertible personnel bond scheme
Flexible working arrangements
Various social responsibility programs, channeling knowledge and strengths to help communities around the world improve education, science, health care and protect the environment

224

Data Scientist Resume Examples & Samples

Experience using data analysis techniques like predictive (regression) modeling or pattern/machine learning algorithms (like MLP, RBF, SVM, or k-NN)
Data analytics experience working with a variety of data sources
Working knowledge of data analysis algorithms in all major areas including clustering, association, dimensionality reduction, anomaly detection, prediction, and regression
Experience working with data analysis tools (e.g. R, SAS, Weka, etc.)
Experience with machine learning including supervised or unsupervised learning techniques and algorithms (e.g. k-NN, SVM, RVM, Naïve Bayes, Decision trees, etc.) is a plus
Experience with R, Weka, Pentaho is a plus
Experience with Hadoop, MapReduce, GridGain, or HPCC is a plus
Programming experience and the ability to develop data processing scripts is beneficial
Open source or community experience is beneficial

225

Data Scientist Resume Examples & Samples

Report to CMBU CTO
Work with product management and development teams to drive product changes that are required to achieve our vision of data-driven SDDC management
Prototype new product features that deliver meaningful and actionable data-driven insights to customers about their SDDC and virtual infrastructure
Prototype new analytics on phone-home product telemetry data, to improve our understanding of how customers use our products, what issues do they encounter in the wild, data-driven UX improvements, etc
Understand product architecture in sufficient detail to ensure that new features can be implemented efficiently, will scale well, do not create upgrade/migration problems, etc
Write detailed design/requirements documents to hand off to product engineering teams, and then consult with engineering as needed to drive the feature to delivery
Work with documentation, marketing and support teams to assist with launching new analytics features and ensuring customer success

226

Data Scientist Resume Examples & Samples

Strong understanding of database concepts like (views, primary keys, table joins) Strong excel skills (vlookups, pivot and other excel analytics features)
Heavy hands-on experience on Teradata and SQL Server Technical: ETL, DB development, SQL, Teradata, Quality Center, Macros, Excel/Access, PowerPoint, Perforce Ability to interpret data lineage, data controls
SharePoint User and some development experience

227

Data Scientist Resume Examples & Samples

Strong SAS, SQL and statistics experience
4+ years of hands-on analytics and / or model development
Experience using W and other data stores at Bank of America. Knowledge of Bank of America Commercial and Corporate Bank data
5+ years experience in supporting risk or marketing analytics or any other related data / analytics role
Experience with data mining methods
Proven experience managing relationships in a support function role
Knowledge in Hadoop, Pig, Hive and related technologies
Masters or equivalent in math, economics, statistics or related field

228

Data Scientist Resume Examples & Samples

Lead business development for the selected Banking / Insurance clients in Taiwan
Engage C-Level executives and position IBM as trusted partner
Lead engagement of consultation and SI deals
Perform Banking SME role internally and externally, develop strategy to grow Banking / Insurance industry solutions and consulting services capabilities
At least 10 years related work experience
Business acumen and insight
Excellent consultancy skills & sales skills
Ability to develop a solution vision that can be sold to customers

229

Data Scientist Resume Examples & Samples

Predictive Modeling
Collect, process and cleanse raw data from a wide variety of sources
Identify, generate, and select modeling features from various data sets
Train and build machine-learning models to meet business goals. Innovate new machine learning techniques to address business needs
Analyze and evaluate performance results from model execution
Strength in Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition, Information Retrieval, Natural Language Processing, and Search Ranking
Knowledge and experience managing and analyzing TV (Nielsen, TiVo, Rentrak), and Social Media data
Strong experience with Big Data (min 4 years of hands-on experience working on TB to PB scale datasets)
Highl skilled in accessing data from relational databases (SQL, Python)
SQL, Tableau or similar data visualization tools and SiteCatalyst required. Experienced with Teradata, MS SQL SSAS, Aster, Hadoop, and testing tools
PhD in Computer Science, Machine Learning or Statistics desired
Web development skills a plus
Self-driven individual who can take a high-level problem and see it to completion

230

Data Scientist Resume Examples & Samples

Strong excel skills (vlookups, pivot and other excel analytics features)
Ability to interpret data lineage
Ability to pick up new concepts swiftly

231

Data Scientist Resume Examples & Samples

Develop and build critical dashboards and reports, including both ad-hoc and pre-defined reporting
Coordinate and communicate between business users and the engineering organization, balancing requirements and resources to solve business problems
Troubleshoot data and infrastructure challenges when needed, aid in developing best-in-class data management practices
Design, implement and validate hypothesis driven/exploratory analysis projects
Ensure Data Quality and that data falls within Data Compliance

232

Data Scientist Resume Examples & Samples

1 - 2 years’ experience in data sciences/business analysis Self-starter,
Ability to juggle multiple projects in a faced-paced work environment
Good skills covering programming, as well as statistical tools or data oriented languages (Scala, Python, R, etc.)
Familiarity with working in cloud environments like AWS
Knowledge of Agile development process
Knowledge of advanced data visualization
An understanding of cognitive computing systems

233

Data Scientist Resume Examples & Samples

Building and maintaining large and complex/dynamic data sets
Building predictive models (e.g. Bayesian analyses, machine learning, feature detection, and natural language processing)
Data mining, machine learning and predictive modeling techniques, and their applications, and developing and implementing statistical models
Working with all Microsoft Office applications
Using programming languages such as PL-SQL or Matlab to build and monitor the implementation of predictive models
Communicating analytics finding to broad audience
Presenting at conferences, and/or academic or industry publication; and
Collaborating with subject matter experts and end users and working in a cross-functional team

234

Data Scientist Resume Examples & Samples

Bachelor Degree
3-5 plus years of experience as a Technical Team Leader role (Design, Development, Infrastructure, and Performance)
Java/J2EE
Experience in DB2/JDBC/SQL
Experience with Object Oriented Design/Development
Active user of Agile Project Management Methodology
Proven working experience in Front-end/ Back-end web and mobile programming
Strong understanding of UI, cross-browser compatibility, general web functions and standards. Understanding of Cloud Development platforms (OpenStack, Bluemix, etc.…)
Broad Expertise in Troubleshooting / Problem Determination Tools
Technical Team Leadership (Design, Development, Infrastructure, and Performance)
Problem Solving/Critical Thinking
JavaScript, JSON, Asynchronous JavaScript and XML (AJAX)
JQuery
HTML/HTML5/CSS/CSS3
Node.js / Angular.js
Building and maintaining web services (REST/SOAP)
Big Data Collection
Leveraging Watson APIs
Cognitive Computing
Rational/Eclipse
System Administration
Application Integration
IBM Support
Agile Project Management Methodology
IBM Design Thinking

235

Data Scientist Resume Examples & Samples

EBay is one of the largest online marketplaces in the world servings 100's of millions of customers. These customers engage with the platform and buy the most diverse merchandise from sellers all over the world
The inventory ranges from a consumer selling her used t-shirt to some iconic merchandise sold by a few of the biggest brands on the planet. Due to the diverse nature of our sellers and corresponding inventory, we have a treasure trove of unstructured listings
The Shopping Experience Applied Research Team's charter is to conduct applied research in various domains of shopping experience. The problems range from inventory understanding to insights mining, clustering to semantics understanding and from insight mining to building bottom up data driven products

236

Data Scientist Resume Examples & Samples

Masters or preferably Ph.D. in a “STEM” major (Science, Technology, Engineering, Mathematics
Aptitude for independent research and demonstrated ability to learn and apply recent methodological advances to solve applied problems
Strong foundation in areas such as: algorithms, big data, machine learning, with emphasis on Deep Neural Networks, time series, forecasting, factor and cluster analyses
Foundation in distributed and cloud computing technologies, such as: Hadoop, MapReduce and Apache Spark
Fluency in English language
A track record in published research
Open to learning new domains
Strong Implementation skills in Python, R and Matlab
Strong Programming skills in Java, C, C++
Skills in data visualization

237

Data Scientist Resume Examples & Samples

Implement enterprise application system roadmaps and associated processes that support business imperatives such as growth, simplification, cost productivity and quality
Participate in development of enterprise standards around data management, integration, and systems interoperability
Advises on application and supporting technology purchases and on future projects or environment upgrades/modifications
Experience in architecting global, large-scale applications, which span multiple countries and business units
Experience with one or more complex data systems (SAP, Oracle, JDE, etc.)
Ability to work across multiple projects simultaneously
Drive to lean new technology and build in-depth expertise
Analytic, creative and business-focused problem solver
BSC Degree in Information Systems, Computer Science, STEM (Science, Technology, Engineering and Math) or related technical discipline or equivalent
Proven IT or related technical or professional experience
Experience with massive data sets (Big Data), with experience building analytic products
Experience with data extraction, data cleansing, data manipulation, ETL tools, and big data technologies, data dictionaries, and

238

Data Scientist Resume Examples & Samples

Develop analytics within well-defined projects to address customer needs and opportunities
Share and discuss findings with team members
Bachelor’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics)
Minimum 2 years analytics development in a commercial setting
Demonstrated skill in the use of applied analytics, descriptive statistics, and predictive analytics on industrial datasets

239

Data Scientist Resume Examples & Samples

Act as a thought leader for the use of Data Analytics to drive critical business decisions, business strategy and able to serve as coach/mentor for data analysts on the team
Develop new data science approaches and methodologies (ex. Neural Nets, Bayesian methods, SVM etc.) to improve operations and business outcomes
Initiate ideas to develop effective value added products & solutions
MSc or Ph.D. Degree in Statistics, Operations Research, Applied Mathematics, Physics, Natural Sciences, Computer Science, Economics, Management Science, Engineering, Finance
At least 3 years’ experience in developing statistical models and carrying out quantitative analytics
Advanced skilled at data extraction, manipulation, and warehousing tools like SAS/R/Python/Matlab
Excellent statistics application knowledge, specifically in multivariate analysis, Decision tree, machine learning, multiple and logistic regression
Excellent communication skills including fluent English
Motivated, proactive, detail-oriented, professional and diligent
Willing to learn and develop critical data science skills
Willing to take international travel and assignments

240

Data Scientist Resume Examples & Samples

Clean, mine, merge, manipulate, manage large databases to bring insights to the business
Liaise between IT and business units to leverage data for customer analytics
Knowledge of statistical modeling concepts including regression analysis, factoring, clustering, decision trees and A/B testing
Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc)

241

Data Scientist Resume Examples & Samples

Define information delivery strategy,
Design applications with intuitive user interface and dynamic dashboards,
Develop prototypes and Proof Of Concepts,
Administrate visualization platform
We are looking for front-end designer/ developer, skills should cover programming language

242

Data Scientist Resume Examples & Samples

Collect and cleanse history data to get insights and estimate future trends,
Develop solutions based on modeling techniques and statistical analysis,
Must be statistics-minded, able to build data models for various purpose (likelihood, propensity, etc.), develop algorithms…
High level proficiency with statistics tools: IBM SPSS, SAS, R, Oracle, …
Experience with Machine Learning preferred,
Fresh Grads and experienced candidate (10 to 20 years) accepted

243

Data Scientist Resume Examples & Samples

Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark
Drive client engagements focused on Big Data and Advanced Business Analytics, in the Health Care space (Claims Data, Payor/Provider Data, Clinical Data etc); Communicate results and educate others through reports and presentations
Eight years of professional experience working as a Data Scientist
Strong knowledge in at least one of the following fields: machine learning, data visualization, statistical modeling, data mining, or information retrieval

244

Data Scientist Resume Examples & Samples

Machine Learning: Classification, Regression, Clustering, Association Rules, Text Mining. You have an excellent understanding of Random Forests, Neural Networks, Logistic Regression, SVM, KNN, K-Means, LDA, etc
Programming Languages: Python, R. Scala is a pre
Tools: Spark, Hadoop (ecosystem), MapReduce
Database handling: SQL, Hive. Familiar with Oracle, Netezza, HBase, Cassandra, Graph databases
Visualisation tools: D3.js, Shiny, Angular
Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer
Willingness to learn: open to feedback, develops on the technical and the interpersonal level
Teamplayer: strikes effective balance between independence and acting in the interest of the team
Perseverance: doesn’t give up when a problem is hard, knows how to deal with set-backs
Strong communication skills: written and spoken English need to be convincing
Entrepreneurial: takes up responsibility and makes it happen
Creative: thinks out of the box
Enthusiasm: has contagious level of enthusiasm to inspire others to act, based on self-example

245

Data Scientist Resume Examples & Samples

Apply, develop and improve methods and best practices in areas of Data Sciences, e.g. predictive modelling, data fusion and text mining
Foster knowledge exchange of Data Science methods and best practices within GfK
Support and coordinate Data Science projects, innovations and research initiativesresearch initiatives
Design, implement and maintain data production processes that use Data Science methodsuse Data Science methods
Translate and clearly communicate sophisticated analytical information into client friendly recommendations

246

Data Scientist Resume Examples & Samples

Analyze ambiguous data to understand fraud trends, reach conclusions, and develop strategies to improve scoring performance
Support your answers and findings with appropriate statistical techniques and methods
Partner with Director of Transaction Risk on finalizing feature use and weighting before new models are released
Conduct analysis quickly to meet new model releases every 2-3 months
Lead in growing the team to support other areas of the business
Complete training program on the solution
Document procedures within a manual for new team members to utilize

247

Data Scientist Resume Examples & Samples

Expert in computer science and applications, statistical modeling, leading edge quantitative techniques involving analytics and data mining, marketing and experimental design; coupled with strong business acumen
Identifies research, tools, and analyses required to achieve objectives for large, complex business problems
Develops recommendations for optimizing business and financial performance
Leads the development of project guidelines, contingency plans, objectives, and deliverables
Consults with business executives on a wide range of issues related to the strategy formulation process, including risk management and new growth opportunities
Provides thought leadership and contributes to expanding the knowledge base within area of expertise which includes developing new methods, techniques and criteria for strategy analysis and recommendations
Collaborates across businesses, functions, and regions to align strategy and direction with corporate and divisional approaches, systems, information and support
Typically 8-12 years total experience. Often 4-7 years post advanced degree experience leading projects, deals, and company financial improvement initiatives in management consulting, corporate strategy, investment banking, or market research
Advanced university degree (e.g., PhD, MS, and MBA) or demonstrable equivalent
Excellent analytical thinking, analysis, and problem solving skills
Ability to communicate abstract ideas clearly and independently manage complex project objectives
Extensive knowledge of and ability to manage statistical analysis and financial modelling
Advanced business acumen, technical knowledge within multiple business units, and extensive knowledge in applications and technologies
Very strong verbal and written communication skills, including negotiation, presentation, and influence
Superior group facilitation, interviewing, and influence skills
Excellent project management skills, including project structuring and managing multiple work streams independently
Strong relationship management skills, including partnering and consulting
Strong leadership skills, including coaching, teambuilding, conflict resolution, and management
Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to client issues
Ability to independently draft and present client deliverables, recommendations, and communications strategies

248

Data Scientist Resume Examples & Samples

Bachelor’s degree in technical filed or Mathematics/Statistics with typically 6-8 years’ experience
4 or more years of experience writing code (such as, and not limited to, Java, C, SAS, R or any other statistical modeling languages
6 or more year of experience in databases like Sql Server/ Oracle; and testing tools
Experience of multiple full release cycles
Understanding of modern software development methodologies (Object)
Understanding of modern software development tools and Software Configuration Management (SCM)
Strong understanding of Basic Database Administration
General Project Management (developing)
Customer/ Vendor Management
Business Analysis
Good verbal and written communication skills; ability to work effectively in a team

249

Data Scientist Resume Examples & Samples

Big Data Design & Development
Capability to perform analysis of Data
Understand and analyze the High level requirements and technical implementations and develop quick Prototype
Individual contributor - design, code and guide the team members
Innovative, Pro-active and Responsive to team and partners
Integrative thinker, quick to visualize solutions and generate ideas
Build a strong data science group by collaborating with other Aero Services team members
Collaborate with Aero Services teams and business to validate various use-cases and create innovative products & solutions
Demonstrate excellent technical leadership and communication skills with self-directed action oriented approach
Remains on the forefront of emerging industry practices and provide new Ideas for Prototyping / Service
Other day to day duties as assigned for the project
M.E / M.Tech or PhD degree in Computer Science or Aeronautical or Statistics preferred with 10+ years of Experience
Hands on experience in web-based systems architecture, service-based architecture, enterprise application architectures, Big Data
Hands on experience developing Data Science (Big Data) solutions
Experience in working with Hadoop, MapReduce, Pig, Hive, HBase and other big data technologies
Experience in the following Data Science technologies
Three full implementation of End to End Big Data solution
Data mining (including data auditing, aggregation, validation and reconciliation)
Application, statistical, conceptual, mathematical, modeling, and predictive analytic expertise
System/Data Integration , Machine Learning Algorithms, Cloud Computing
Data Visualization/Presentation (Tableau, Spotfire, Qlikview, d3.js)
Proficiency with UNIX/LINUX environments
High level programming skills
Experience in working with ETL tools such as Informatica, Talend and/or Pentaho
Experience with modeling software (R, Python, SPSS, SAS)
Design and build the needed hardware and software (including algorithms)
Good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSql platforms
Experience in designing solutions for the Aerospace domain is an added advantage
Research Mindset and able to understand the business requirements and converting them into solution designs
Excellent Troubleshooting skills
Passion to explore opportunities and provide solutions as POC
Synergize the value proposition from Aero Services technology and industry changes

250

Data Scientist Resume Examples & Samples

Develop relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
Provide data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
Communicate project output in terms of customer value, business objectives, and product opportunity

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Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

Data Scientist Resume Examples & Samples

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