Lead Data Scientist Resume Samples

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I Muller

Ida

Muller

6611 Marquardt Ford

Philadelphia

+1 (555) 369 6866

6611 Marquardt Ford

Philadelphia

Phone

p +1 (555) 369 6866

Experience Experience

Dallas, TX

Lead Data Scientist

Dallas, TX

Cummings-Brekke

Dallas, TX

Lead Data Scientist

Support the development of the Data Sciences team, both as a line manager and through mentoring and development of junior members of the team
Manage the priorities and workload of other data scientists. Own and develop product/area specific data science roadmaps
Measures effectiveness of improvements through deep analysis of data on performance metrics striving for cost effective high quality improvements
Work with game developers to identify key performance metrics and benchmarks related to user behavior, user segmentation, and user retention
Track and make suggestions for ways to improve upon KPIs (Key Performance Indicators)
Owning the development of new data systems and processes and ensure these are utilised effectively within the team, identifying continual areas of improvement
Perform large-scale data analysis and develop effective statistical models for segmentation, classification, optimization, time series, etc

San Francisco, CA

Lead Data Scientist, Data Center

San Francisco, CA

Rowe, Deckow and Beier

San Francisco, CA

Lead Data Scientist, Data Center

Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Facebook’s data centers
Work cross functionally to define problem statements, collect data, build analytical models and make recommendations
Define and develop a program for data aggregation and automated tool development that supports the management of projects under Facebook’s Data Center Strategy and Development team
Work with team of Analysts, Data Scientists and Strategy Managers to drive tactical initiatives
Leverage data and business principles to create and drive large scale FB Data Center programs
Routinely communicate development status and plans to senior leadership
Provide leadership and mentorship to other members of the team

present

Boston, MA

Lead Data Scientist / Analytics Manager

Boston, MA

Hirthe, Deckow and Waelchi

present

Boston, MA

Lead Data Scientist / Analytics Manager

present

Design, develop and support high performing transactional risk management platform
Deal with wider team in the software development lifecycle - PMs, BAs and validation
Work with the Application and Domain experts to fulfil the project key success factors
Help facilitate software quality measures - TDD, Peer Review, continuous integration and unit test
Take ownership for the creating very high quality code that you would be proud of
Deep expertise in advanced analytics
Financial services analytics background

Education Education

Bachelor’s Degree in Computer Science

University of Illinois at Chicago

Bachelor’s Degree in Computer Science

Skills Skills

Strong client facing skills – able to represent CenturyLink professionally and deepen client relationships
Strong management and leadership skills, demonstrable ability to build, organise and manage a team to support a wide range of initiatives
Excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority
Are a great communicator, able to articulate complex concepts in easy to understand language
Highly motivated to discover and learn new analytical techniques and software tools to improve the quality of your work
Ability to work in a team environment and manage their own deliverables within the context of a larger project
Ability to learn technology quickly through instruction and self-training
Strong Knowledge on any one of the SPSS or SAS
Strong leadership skills; demonstrate the ability to positively influence a group of people
Experience with data visualization and BI tools such as QlikSense and/or Tableau

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Lead Data Scientist Resume Examples & Samples

Masters/PhD in Computer Science, Mathematics, Engineering, or Equivalent
5+ years' experience in statistical model development and scorecard development
5+ years' in financial services, small business or consumer lending policy / strategy (underwriting, portfolio management, CRM)
Ability to transform data and prototype quickly to conduct statistical analyses using R, SAS, Java, Python
Proficiency with SQL and relational databases

Lead Data Scientist, Digital Intelligence Resume Examples & Samples

PhD or MS in Computer Science, Statistics, Operations Research, Physics, Mathematics, Neuroscience, Engineering, Econometrics, or related field from a top ranked program
Demonstrated ability to inspire, mentor and manage the day-to-day activities of other data scientists, as well as drive strategic long-term data science initiatives across the firm
Proven ability to earn the trust and respect of other colleagues as an authority in a functional area
Deep day-to-day working experience applying statistics and machine learning, with at least two or more of the following techniques: logistic and multivariate regression, decision trees, ensemble learning such as random forest, bagging, boosting, Bayesian learning, recommendation algorithms such as collaborative filtering, matrix factorization, kNN, etc
Demonstrated hands-on ability to use and adapt at least one open-source package such as R, Weka, GraphLab, Scikit-learn, Vowpal Wabbit, Apache Mahout, to build and validate models for real-world deployment
Excellent understanding of experimental design, A/B and multivariate testing
Excellent prototyping skills with two or more of the following: Python, Java, R, JavaScript, C++, Scala. You will be expected to perform code reviews of other team members on a regular basis
Experience with at least two of the following: Hadoop MapReduce, Hive, Pig, Scalding/Cascading, and Apache Spark
Exceptional interpersonal and collaboration skills, ability to explain complicated mathematical concepts, algorithms and data structures to all business partners
Strong commitment about staying updated with the latest trends and techniques in areas such as machine learning, Hadoop, and digital targeting
Close association with the academic and research communities, e.g. via internships, research collaborations, and participating in conference organizing committees
Good history of publications in the above areas in well-respected journals and conference proceedings or good track record of building significant data science capabilities in industry

Lead Data Scientist Resume Examples & Samples

Act as a data thought leader within the FT, evangelising the power of data science to drive our strategy and maximise revenue opportunities
Take advantage of the wealth of data available at the FT and maintain our market leading analytics position within the industry
Establish strong relationships with all stakeholders and ensure work is prioritised according to business need and opportunity. Deliver analytical projects on time and to budget
Ensure that the FT’s capability remains at the forefront of developments and new trends in analytics and research to ensure that the FT remains ahead of competitors and the market
Evangelise data and research to drive best practice for collecting and using customer data
Exceptional analytical and technical skills (SQL/R/Python)
At least 5 years’ experience in Data Science / Analytical roles
Proven experience building statistical models that deliver real returns to an organisation
Experience working with a wide variety of large volume customer data sets such as transactional and web analytics data
Excellent influencing skills - ability to work with stakeholders across a variety of functions and levels of seniority
Excellent presentation and communication skills - particularly strong in visualising and presenting complex data and analytical findings to non-technical audiences. Ability to decipher hidden user needs
A commercially minded individual - ability to understand the commercial imperatives behind the data needs
Have a passion for digital business, mobile, media and emerging technologies
Thorough, inquisitive, innovative, ‘out-of-the-box’ thinking
A strong academic background – at least Masters level attainment in Mathematics / Computer Science /
Statistics / Economics / or similar numerate discipline

Lead Data Scientist Resume Examples & Samples

Build statistical models to support strategic decision making and key campaign based activity
Work with key functions (product development, marketing, sales, editorial, and strategy) to identify opportunities to apply data science effectively to improve commercial performance, operational efficiency and efficacy
Act as a data thought leade, evangelising the power of data science to drive our strategy and maximise revenue opportunities
Take advantage of the wealth of data available and maintain our market leading analytics position within the industry
Collaborate with the Customer Research team to triangulate intelligence and ensure that we offer a rounded view of our customers from both a quantitative and qualitative perspective
Ensure that thecapability remains at the forefront of developments and new trends in analytics and research to ensure that the Company remains ahead of competitors and the market
Provide leadership to the Data Science team and drive its growth and development within the business

Lead Data Scientist Resume Examples & Samples

4 years + experience in Data Science roles
Proven record of delivering complex data science analysis with tangible business results
Has demonstrated thought leadership in developing products, techniques or processes which leverage new technologies. Examples (e.g. scoring systems, segmentations)
Continuously and autonomously learning new techniques, evaluating applications to business problems, developing solutions and sharing them with colleagues
Seen as a mentor and subject-matter expert (speaking at technical conferences, working with Data Science researchers in peer companies)
Lead and develop a team of analysts. There is a core team of 3 full-time analysts. Additional fulltime and/or contract staff will be added as needed throughout 2015 and 2016. In addition, 2 MSc students will join this team on a 20-month contract. The successful candidate, together with the Lead Data Scientist will be responsible for both delivering individual projects and for assisting analysts in delivering their projects. Mentoring and developing the team's statistical and project management capabilities are an important part of this role
Deliver machine learning and optimisation projects - develop and build the necessary propensity models, segmentations and decision algorithms to support business users
Advanced skills in one or more statistical platforms. R is strongly preferable (if not then SAS, SPSS, Matlab, Python, etc.)
Experience of using an agile development methodology to build solutions. Preferably some experience of a source code management environment (e.g. Git, Subversion, Sourceforge)
Must have strong SQL and preferably have used HiveQL
Excellent communicator (Written and verbal)
Experience in using different sources of third Party data to supplement customer information Eg. Experian
An understanding of the latest techniques for data visualisation (e.g. D3, Gephi)
Experience in using high volume data such as clickstream data is highly advantageous
Good knowledge of Hadoop stack (HiveQL, Spark, etc.) and familiarity with cloud based platforms (e.g. AWS) is preferred
The Senior Data Scientist will be responsible for developing and mentoring data science analysts in their teams. Therefore, they will need to have deep theoretical knowledge of the techniques and have demonstrated the ability to manage and train a team

Lead Data Scientist Resume Examples & Samples

Masters degree or PhD from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields (strong mathematical/statistics background with ability to understand algorithms and methods from a mathematical and intuitive viewpoint)
2+ years of management experience
5 years of professional experience working in Natural Language Processing or related field
Proficient in time series analysis with demonstrable experience in applying comprehensive factor analysis and intelligent dimension reduction techniques to high dimensional data
Ideally candidate will be familiar with distributed algorithms using big data techniques such as map-reduce
Fluent in Python
Experience with parallelization tools Hadoop/MapReduce
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux environment, processing large amounts of data in a cloud environment
Strong data extraction and processing, using MapReduce, Pig, and/or Hive preferred
Able to prioritize and execute tasks in a high-pressure environment

Lead Data Scientist Resume Examples & Samples

Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
Contribute to predictive / analytical modeling architectures, modeling standards, reporting, and data analysis methodologies
Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
Apply quality assurance best practices for predictive modeling/analytics services. Specify the Data Quality standards
Manage and/or provide guidance to junior members of the team
10+ years of working in large and medium project teams, as a contributing member in self-directed roles

Innovation Lead Data Scientist Resume Examples & Samples

An expert and creative problem solver and comfortable operating in a rapidly changing and uncertain environment
To provide analytical, technical, business and management expertise to the group
To act as the central point of liaison and coordination with all data stakeholders throughout the Citi innovation process
To work with internal technologists and, where appropriate, external partners to design and prototype appropriate solutions and business value propositions
To manage multiple concurrent initiatives and projects of varying sizes/complexities and external vendor relationships, developing and maintaining program and project plans/milestones and coordinating program and project activities while tracking accomplishments and results
To demonstrate knowledge of the supported/related business area
To control the program and project budget and provide support in the Planning and Forecasting processes
To provide regular communication to management and the program and project stakeholders of program and project status, including risks and issues and mitigations
The individual will work within a highly motivated team and will be given the opportunity and responsibility to drive very visible programs and projects that benefit our business and customers
Banking or financial services experience or other large corporate environment
Experience with large-scale data on Hadoop
Experience with Platfora and Datameer
Top-tier performance ratings from current and prior employers
Previous knowledge of the Securities & Funds Services Business and Application Portfolio
Ability to be creative, and to be an excellent problem-solver
To be comfortable with changing priorities, and to be able to create structure/deliveries/options out of ambiguity
A number of skills will be strengthened by this position including senior stakeholder management, project/program management, strategic thinking, tactical & operational
Solution provision, senior internal/external client interaction, risk management, and presentation & reporting skills
Post Graduate qualifications in an Innovation / Banking field desirable
Exceptional candidates who do not meet these criteria may be considered for the role provided they have the necessary skills and experience

Lead Data Scientist Resume Examples & Samples

Develop complex statistical analysis for various needs within the company
Able to generate reports that present and articulate complex data tailored for various levels of stakeholders including executive management
Takes ownership of assigned projects and communicates effectively including [leading/managing] all required tasks, timelines, updates and deliverables
Suggests ways to improve current data analysis processes providing more accuracy, reliability, and quality; secures buy in from team; leads execution
Provide insight and lead initiatives which improve accuracy, availability, granularity and coverage of company data
Develop a deep understanding of Maker Studios’ data sources, data structures, and their relations
Write clean, reusable, and maintainable code that can be easily shared and extended
Provide data and statistical guidance to team members
5 or more years of data modeling or business statistics experience
Expert-level SQL experience including querying and tuning
Data Analysis experience with two or more of the following tools: R, Java, MATLAB, Python
Competency in parallel processing, mapreduce computing, petabyte-sized data warehouses, machine learning, advanced statistics and complexity science
Excellent written and verbal communication skills including the ability to effectively understand business requirements
Able to create innovative solutions which solve complex problems and derive value in a timely manner

Lead Data Scientist, Digital Analytics Resume Examples & Samples

“Connect the dots” by marrying data from across disparate parts of the organization to create meaningful and impactful analysis that influences company strategy
Develop and maintain an automated, standardized, and reliable metric pipeline to empower stakeholders and decision makers with timely and accurate data and insights
Own the reporting of key performance indicators on a daily, monthly and quarterly basis
Ensure strong data governance, transparency, aggressive documentation, and communication of analyses and methodologies
Partner with the managers of the Digital Products and Digital Marketing teams to create a culture of continuous learning. Raise the skill level of entire analyst team through the creation of exemplary deliverables, mentorship and the introduction of better practices, processes and tools
Provide program reporting, insights and recommendations to stakeholders on a regular basis
Provide integrated analytical solutions across customers and channels to improve marketing decision-making
Collaborate with partners to understand and document critical business needs for improved usability of data in support of analytic projects and business objectives, e.g., segmentation strategies and tactics, data gaps, reporting and tracking needs
Analyze user activities / data and develop user segmentation and methodologies that support business goals
Utilize knowledge of business data such as product and website usage data to drive requirements for improved marketing effectiveness
Possesses in-depth business knowledge in order to initiate and drive discussions with business partners to identify business issues needing analytic solutions
Years within data analysis field or discipline (minimum 7 year’s experience)
Education: MS with a concentration in quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline is desired
Competency and expertise in several modeling or machine learning techniques (regression, tree models, survival analysis, cluster analysis, forecasting, anomaly detection, or association rules)
Competency and expertise in several data management technologies (Teradata, Oracle, SQL, Python, Java, Ruby, Pig)
Competency and expertise in several analytic languages (R, SAS, SPSS, Stata)
Big data processing techniques is a plus
Self-starter, with a curiosity to explore data and bring novel approaches to quickly solving business problems
5-7 years of experience in database marketing analytics using sophisticated database management and intelligence software to build customer profiles / segmentation, mine the customer database to create actionable insights
Ability to speak the language of Marketing, Sales, and IT in order to translate requirements and manage the analysis and reporting from a strategic perspective
Must be flexible, able to balance multiple projects concurrently and enjoy a fast-moving, evolving environment
Ability to communicate effectively while setting priorities with business stakeholders; manage cross-departmental relationships
Experience with Google Analytics and Adobe Audience Manager/Adobe Analytics a plus

Lead Data Scientist, Data & Analytics Resume Examples & Samples

Strong quantitative academic background: MS or PhD preferred
5+ years of industry experience
Experience being a team lead
Proven real world experience creating models that can translate into scalable, production grade code
Experience working side by side with engineers, while being hands on
Experience with SQL (above average)
Experience with Amazon AWS
Proficiency in one modern day statistical tool, like R or Python
Experience building large scale, fault tolerant systems
Experience in Scala
Music Video fan

Lead Data Scientist Resume Examples & Samples

Work with the key business stakeholders (marketing, sales, channel, etc.) in understanding customer analysis needs and ensuring key requirements and objectives are addressed and achieved
Contributing to the development of the market intelligence methodologies including data set requirements & specifications
Provide required support to operations and IT organizations to implement predictive models in operational systems (Marketing Automation platform, In product messaging platform…)
10 Things That Describe You
Data-driven and data savvy
Strong Communicator
Decision driver
Marketing innovator
Impact driven

Lead Data Scientist, VP-dat Resume Examples & Samples

Lead teams from project scoping to final solutions in a cross-business shared capability dedicated for using advanced data analytics to solve complex business problems
Develop and maintain relationships with senior executives in the business lines
Build in-depth knowledge of the business success drivers, industry trends, regulatory issues and competitive marketplace in order to develop value add business projects
Drive pragmatic approaches to solving key business problems through utilizing multivariate statistics, predictive modeling, machine learning, segmentation, optimization, recommendation engine development, and other advanced techniques
Lead verbal and written communications with all levels the business to clearly articulate the findings of analytical models and assist in driving solutions
Advise on implementation of advanced data analytics models with effective and practical short and long-term actionable solutions within the businesses
Develop and refresh efficient processes for data extraction, aggregation and harmonization to accelerate analyses and speed to market
Contribute to the transformation of the culture at Prudential from a product to a customer-centric orientation, especially by improving the data and analytics environment overall
Initiate and manage strategic external partnerships to supplement internal advanced data analytics capabilities
Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or other quantitative discipline, plus a minimum of 8-10 years of relevant work experience in data analytics, market research, customer knowledge, or related consulting
Superior communication and persuasion skills; talent for storytelling, visualization and creating insights from data in order to deliver practical recommendations for business action
Consultative nature, with a proven track record of using data to provide actionable business results
Proven relationship and partnership skills; ability to influence and drive outcomes in a large matrixed and complex organizations
Experience managing teams of data scientist professionals
Accustomed to managing multiple teams on different projects
Experience managing projects, budgets and schedules to successful completion
Entrepreneurial spirit, persistence, and resilience; comfort with and ability to thrive on and drive change
Financial services industry experience a plus

Lead Data Scientist Resume Examples & Samples

Work with Product Managers in BIS to gather requirements from key stakeholders, preparing and presenting analysis results
Shape and lead the delivery of analytical activities, such as customer behavior segmentation or predictive modelling
Apply appropriate statistical techniques to answer product questions and understand consumer behavior
Design, build and support reusable data analysis structures within the technical environment; enabling self-service analytical capability for key technical stakeholders
Engage with C level executives, establishing clear strategies for leveraging data driven capabilities
Communicate findings to other technical and non-technical teams
Facilitate cultural adaption to enable a data driven business
Support the development of the Data Sciences team, both as a line manager and through mentoring and development of junior members of the team
Act as an ambassador for BIS; maintain and enhance BIS reputation and profile within the business by building strong relationships with stakeholders and positively contributing to BIS delivering the highest possible value from people and technical resources available
Some global travel will be required, usually to Sony offices in London or Tokyo
Masters degree or PhD in a relevant technical or mathematical field
4+ years’ experience working in a relevant role with a proven track record of delivering high profile solutions in a fast paced environment
Exceptional analytical, quantitative, problem-solving, and critical thinking skills
Experience in leading and managing analytical work, including line management of junior data scientists
Strong commercial awareness and an understanding of how data science can be applied in a global organization
Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience range
Organized self-starter, with drive and commitment; able to work with little supervision
Experience with at least one established commercial statistical analytics tool (e.g. R, SPSS Modeler, SAS)
Experience working with large data sets: SQL essential
Experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, Spark etc.)
Experience of visual analytical tools such as Tableau
Experience of working as a Data Scientist within an agile team
Experience of relevant industries (e.g. gaming, digital commerce, subscription services)

Lead Data Scientist Resume Examples & Samples

Perform data studies and data discovery from new data sources or Understand uses from existing data sources and propose the business value
Use data mining, predictive analytics, machine learning and optimization algorithms for various business problems in different functional areas
Presenting outcomes of Analytic Models in a format easily understood by business
Implement Models using different software tools for Data Mining and Prediction
Works on a portfolio of projects; responsible to meet project objectives and stay within scope, monitor and track progress to plan, and manage personal work assignments
Act as an evangelist for propagating data based decision making across various units in business globally – build demos, case studies for the same
Conduct trainings within Ericsson on predictive analytics, data mining etc
Participate in national and international conferences and publish in journals on various algorithms and case studies – using appropriately anonymized data and descriptions of business problem
Understands and operates budgetary guidelines and manages expenditures according to budget
A strong background in statistics, machine learning with a focus on predictive modeling
Ability to go through academic literature to find appropriate algorithms for various scenarios
Applying machine learning and statistical algorithms for solving real world problems in Telco domain
Proven experience in applying various supervised and unsupervised machine learning models and comparing various models
Deep expertise in multivariate regression, time series models, cluster analysis, logistic regression, principle component analysis, decision trees, linear and non-linear optimization
Highly motivated to discover and learn new analytical techniques and software tools to improve the quality of your work
Strong development skills in R
Ability to implement algorithms described in academic literature
Strong development skills in C/C++
Strong Knowledge on any one of the SPSS or SAS
Proven ability to work with very complex and huge data sets
Should have good understanding on Windows, Linux or Unix OS
Excellent oral, written and client presentation skills
Experience in facilitation of assessment workshops and meetings
Ability to deliver informative, well-organized presentations
Ability to serve in leadership roles ,Consulting role and communicate with development teams
Ability to facilitate effective team interaction
Should be flexible for travel ( outside India) for short time periods
Post graduate in machine learning/statistics/econometrics from top-tier institutions in India or abroad. Strong quantitative MBA students can also apply
Knowledge of various supervised and unsupervised machine language algorithms
Demonstrated experience in programming languages in R and at least one of SAS, SPSS, Matlab, Octave
5+ years of relevant experience.(negotiable)
Proven leadership and management skills
Work location would be Bangalore but this role requires flexibility to travel

Lead Data Scientist Resume Examples & Samples

Primary Duties and Responsibilities
Lead the development of advanced data analytical solutions for our customers
Develop, prototype and test new models and methods for demand modeling, promotion recommendation, anomaly detection in retail data
Learn and deploy new methods and technologies to drive continuous improvement of our capabilities
Position might require international travel for customer meetings and remote presentations/conference calls with different time zones
Required
Masters degree in Mathematics, Statistics, Computer Science or related field
Good knowledge of statistical analysis and classification methods like K-Means, KNN, SVMs, Decision Trees, Random Forests, Logistic Regression, etc
Experience with statistical software (R and/or SPSS), databases (SQL) and scripting languages (Python, bash)
Experience with C/C++ or Java
Strong customer service focus and team collaboration skills
Strong problem-solving and project management skills
5+ years of experience in related field
Preferred
PhD degree in Mathematics, Statistics, Computer Science or related field
Familiarity with mixed effect models, hierarchical models, etc
Good understanding of MapReduce paradigm and practical experience with Big Data Analytics Stack (Hadoop/Spark)

Lead Data Scientist Optimization Solutions Resume Examples & Samples

Employ statistical / econometric / data mining techniques to identify business patterns, assess its risk or opportunity, and evaluate the impacts of business policies and strategies
Work with various data sources and platforms (PC, Mainframe, Unix/Linux, Teradata) to gather data
Provide leadership, direction and carry out supervisory responsibilities within a small team
Develop team members by providing feedback on strength and growth areas
Work with other team in data acquisition, data validation, and data exploration
10+ years of experience in auto industry business and bank/finance business
10+ years of programming experience in R, MATLAB and/or SAS required
10+ years of data handling experience under different platform PC, Mainframe, Unix/Linux, Teradata
Prior supervisory experience
Knowledge about JDPower pin data including APEAL, IQS, VDS, BEAT, NVCS, GQRS

Advanced Analytics Lead Data Scientist Resume Examples & Samples

At least 3 years as the technical lead in determining appropriate modeling approaches to solve problems, sampling plans and gathering/analyzing/portraying data
At least 3 years experience designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Arena, Statistical Analysis System (SAS), Statistical Package Social Sciences (SPSS), R or other vendors
At least 3 years experience in data collection/survey
At least 3 years experience in data mining/text mining
At least 3 years experience in data management
At least 10 years as the technical lead in determining appropriate modeling approaches to solve problems, sampling plans and gathering/analyzing/portraying data
At least 10 years experience designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Arena, Statistical Analysis System (SAS), Statistical Package Social Sciences (SPSS), R or other vendors
At least 10 years experience in statistical analysis and deploying the results of the analysis
At least 10 years experience in data collection/survey
At least 10 years experience in data mining/text mining
At least 10 years working in the Healthcare commodities industry
English: Intermediate Knowledge

Lead Data Scientist Resume Examples & Samples

Provide high-quality data analysis and analytical solutions that support business objectives
Strongly influence business decisions by developing and institutionalizing a data-driven analytics
Identify high-impact business problems & develop viable solutions thru data analytics & modeling
Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional group
Present data with an intelligence awareness of the consequences of presenting that data and the insights gained
Perform research and analysis on large data solutions; data exploration, Data Visualization trending, correlation modeling
Determines relevant metrics for predictive analytics, leading / lagging indicators to determine risks and opportunities from a human capital perspective
Be aware of data sources within and without the company that could be used to complement current and future projects
Work Closely within a team structure and develop the abilities of others
Provide thought leadership and dependable execution on diverse projects
Identify emergent technology trends and opportunities for future growth and development
5 or more years Data Analyst experience
3 or more years’ experience with statistical or predictive modeling
Proven management experience
Proven experience working with Big Data, specifically Hadoop
Bachelor’s Degree in Mathematics and/ or equivalent work experience
10 or more years data analyst experience
Financial services industry experience
Tableau
Splunk
NoSQL, SQL, SAS
Ad-Hoc Reporting
Possesses excellent numeracy and understanding of advanced analytical techniques
Solid understanding of data structures and databases in structured &unstructured environments
Works with an open mind and is curious while maintaining a healthy skepticism
M.S. or Ph. D. in a relevant field, such as Applied Math, Statistics, Computer Science, Physics, Economics, Electrical Engineering, or Bioinformatics

Lead Data Scientist / Analytics Manager Resume Examples & Samples

Design, develop and support high performing transactional risk management platform
Help facilitate software quality measures - TDD, Peer Review, continuous integration and unit test
Take ownership for the creating very high quality code that you would be proud of
Deal with wider team in the software development lifecycle - PMs, BAs and validation
Work with the Application and Domain experts to fulfil the project key success factors

Lead Data Scientist, Digital Intelligence Resume Examples & Samples

Demonstrated a history of solving real-world problems in personalization, recommendation and search using applied math, statistics, machine learning, computer science and distributed computing
Hands on experience with Apache Hadoop and Spark ecosystems of open-source tools and ML packages. Our data processing and modeling pipelines are built using Spark, MapReduce, Hive, Kafka, ElasticSearch, HBase, Cassandra, and other open-source platforms
Passionate about changing the financial lives of millions of people by making banking simple, personal and human, and by using data, algorithms and insights
MS/PhD in a quantitative discipline such as Statistics, Physics, Economics, Applied Math, Computer Science, Operations Research, or Computational Sciences, with coursework and projects in machine learning and data analysis. Publications in top machine learning, AI or data science conferences and journals are highly desirable
Fundamental understanding of algorithms that build recommendation systems, interest graphs, ad targeting models, trend analysis, and fraud/anomaly detection using online and offline features. A big part of the role is to be able to ask open-ended questions, explore new ideas, and choose appropriate techniques for solving a given problem, rather than using packages as a black box to a known problem
Must be able to write clean and concise code in at least two of the following: R, Python, Java, and Scala. Our interview process includes writing some code to solve a problem on the whiteboard
You are curious, have a research mindset, love bringing logic and structure to loosely defined unstructured problems and ideas. You hold yourself and your teammates to a high bar, and take great pride in your attention to details. You inspire us to aim higher

Lead Data Scientist Resume Examples & Samples

Apply your expertise in quantitative business analysis, data mining, and the presentation of data to see beyond the numbers and drive enterprise level outcomes
Develop high performance, distributed computing algorithms using Big Data technologies such as Hadoop, text mining, and other distributed environment technologies
Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, collaborative filtering, etc.) given an array of tactical and strategic objectives
5+ years of experience in solving analytical problems using quantitative approaches (or equivalent)
Bachelors in Computer Science, Math, Physics, Applied Economics, Statistics or other technical field. Advanced degrees preferred
Fluency in SQL or other programming languages
Competent programming aptitude with excellent computation and data text mining skills, with expertise in using R, SQL, Python
Machine learning including Bayesian methods, reinforcement learning, Neural networks, Support vector machines, Hidden Markov Models, relevance vector machines, Probabilistic/ Evidential Reasoning
Ability to leverage data assets to respond to complex questions that require timely answers
Must have superior communication skills - both oral and written
Must be able to function productively in an ambiguous environment

Lead Data Scientist Resume Examples & Samples

Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.Share and discuss findings with team members
Bachelor Degree in Mathematics, Statistics, Machine Learning or a related field
Minimum 1 year analytics development experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages
Demonstrated awareness of industry and technology trends in data science
Demonstrated awareness of how to leverage curiosity and creativity to drive business impact

Lead Data Scientist Resume Examples & Samples

Masters degree or PhD from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, Physics, Operations Research, or related fields
Minimum of three years of relevant experience (strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint)
Project Management and team organization experience
Comprehensive Program Management abilities
Ability to influence others and create cohesive groups
Proven mentoring skills including; technical mentoring

Lead Data Scientist Resume Examples & Samples

As a Lead Data Scientist, focused on IT infrastructure operations, you will apply knowledge and expertise with distributed scalable Big Data store, including Splunk, or Hadoop and expertise with the MapReduce programming model
Leverage expertise in requirements analysis, installation, integration, evaluation, enhancement, maintenance, testing, and diagnosis or resolution
Use statistical methods and leverage knowledge of large data sets to characterize uncertainty through statistical methods
Leverage knowledge of large data set analysis and the ability to perform research and ensure study results are properly interpreted and documented
The Data Scientist will be responsible for developing valuable algorithms, rules, KPIs and reports, working cross-functionally with our Global Infrastructure, Product Development and Enterprise Security Organization, and others to address statistical, machine learning and data mining problems
In this role, you will apply modern machine learning and statistical methods for finding structure and value in both large and small data sets
Consults with senior IT management on the design of moderately complex systems and projects. May consult with leadership on emerging technologies
Supports existing business systems applications
Performs additional job duties as required

Lead Data Scientist Resume Examples & Samples

Substantial experience with analytical programs
Relevant social science research knowledge
Mastery of statistical programs R and Stata
Mastery of methods of causal inference
Extensive experience with text analysis, machine learning, and databases (e.g., SQL)
Experience with a general programming language (e.g., Python, Ruby)
Experience creating data visualizations for academic publications as well as broad public audiences
Demonstrated experience managing a wide range of projects and collaborating across various groups and people

Lead Data Scientist Resume Examples & Samples

Review and evaluate data scientist programs enterprise level to determine appropriate use of algorithm-driven products and solutions
Educate other departments on data science methodologies, concepts and algorithmic advancements
Define enterprise data strategy and data monetization processes through analysis of rich streams of unstructured data to find correlations between events and identify opportunities to optimize defined desired outcomes

Advanced Analytics Lead Data Scientist Resume Examples & Samples

At least 5 years as the technical lead in determining appropriate modeling approaches to solve problems, sampling plans and gathering/analyzing/portraying data
At least 5 years experience designing/building/managing solutions utilizing for example ILOG CPlex, Python, Standard Query Language (SQL), Arena, Statistical Analysis System (SAS), Statistical Package Social Sciences (SPSS), R or other vendors
At least 5 years experience in data collection/survey

Lead Data Scientist Resume Examples & Samples

Be passionate about applying data analytics to real world problems
Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking
Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses
Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn
Provide relevant day to day tasking for one or more junior staff
Lead projects throughout their life cycle, including conceptualization, requirements definition, data procurement, development, integration, and socialization
Prior experience working with databases (e.g., Oracle, MySQL, MongoDB)
Advanced degree in Operation Research, Statistics, or Data Science

Lead Data Scientist Resume Examples & Samples

Object Oriented Paradigm
Data modeling Tools
Ontologies
Data Performance
Army or Intelligence Domain Experience
Experience with sensor data standards and sensor systems is desired
Cloud computing
Intelligence Systems

Lead Data Scientist Resume Examples & Samples

Active TS Clearance required
Experience in one or more languages (e.g., Python or Java) and Linux scripting
Understanding of Big Data tools (e.g., NoSQL DB, Hadoop, Mongo DB, ElasticSearch)
Knowledge of SOA, IaaS, and Cloud Computing technologies, particularly in the AWS environment
Experience with applied data sciences techniques, including but not limited to, machine learning approaches, data visualization, and statistical modeling
Experience in agile software development paradigm (e.g., Scrum, XP)
Experience designing and implementing Extract, Transform, and Load (ETL) processes to convert diverse structured and semi-structured data to usable formats for processing

Senior / Lead Data Scientist Resume Examples & Samples

STIX
TAXI
Functional Design
Unix Shell Scripting
Bash
Neo4j
MongoDB

Lead Data Scientist Resume Examples & Samples

Utilize statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
Providing data that is congruent and reliable
Validate findings using an experimental and iterative approach
Communicate and present findings, orally and visually in a way that can be easily understood by their business counterparts
Master’s degree in mathematics, Physics, statistics or computer science or engineering or related field
2+ years’ experience in machine learning algorithms
Proficiency in statistical analysis, quantitative analytics, forecasting / predictive analytics, multivariate testing, and optimization algorithms
Hands on experience with programming languages

Lead Data Scientist Resume Examples & Samples

Master’s degree in computer science, engineering, statistics, or applied math with a minimum of five years’ experience, or PhD in a quantitative discipline with a minimum of three years’ experience as a data scientist
Track record in developing statistical and machine learning algorithms including but not limited to supervised, unsupervised and reinforcement learning methodologies. Deep learning and NLP is a strong plus
Comfortable entering into ambiguously defined business problem statements and reducing them to tangible outputs
Experience with big data analytics stack technologies and tools including but not limited to Spark, AWS, TensorFlow
Experienced with putting analytics in production and can interpret the outcomes of data analysis objectively and communicate that information to stakeholders
Excellent Python skills. Good knowledge of SQL is a strong plus
Proficiency in other computer programming languages like Java, Scala, R, C++ is a plus
Experience in software development and agile methodologies for delivering analytics outcome
Teamwork and influencing skills
Passion for financial markets
Exceptionally motivated, hard-working, and self-starter combined with the highest integrity and character

Lead Data Scientist Resume Examples & Samples

PhD or Master’s degree in Mathematics, Statistics, Operations Research, Computer Science, Physics or other quantitative discipline like Financial engineering
5+ years of AML or fraud analytics experience in the financial services industry
3+ years of experience in building machine models in R, Python or SAS , using techniques such as Random Forest, ANN, SVM, logistic regression
Knowledge of implementing streaming models (dynamic / incremental models) such as streaming K-means and Streaming Random Forest is desired
Knowledge of Apache Hadoop ecosystem, Complex Event Processing engines, Apache Spark, Spark MLlib and streaming systems is highly desired

Lead Data Scientist Resume Examples & Samples

You like Big Data, and you cannot lie. This is essential because you will be responsible for designing, developing, and implementing Big Data platforms using Cloud architecture with structured and unstructured data sources. You will be our proverbial data Zen garden — you’ll be responsible for bringing clarity to the chaos
You can bring the complex algorithms your dreams are made of and make them a reality, and you can easily analyze and translate the complex models and algorithms of others’ dreams
Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data to identify patterns
Perform ad-hoc analysis and present results in a clear manner
10 to 15 years professional experience
7+ years of experience with top-tier firms in big data analytics, management consulting, or comparable role in corporate setting
4+ years of experience with machine learning
5+ years of experience with SQL
4+ years in financial services preferred
In-depth knowledge of statistical software packages (e.g. SAS and R)
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB
Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and / or Google Cloud
Familiar with Agile software development (Scrum is a plus)
Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
Strong analytical and critical thinking skills
Self-motivated. Capable of working with little or no supervision
Ability to manage multiple tasks and requests
Ability to react positively under pressure to meet tight deadlines
Good inter-personal skills combined with willingness to listen

Lead Data Scientist Resume Examples & Samples

Partners with Product Leadership in the development of new products, including identification/evaluation of data sources, authoring methodologies, and building out product features
Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. This may include trend analyses, identifying gaps for improvements in coverage, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources
Plays key role in developing and documenting new methodologies
Handoff and coordinate with GBS CSE’s to transition new products to operation implementation
Work with cross-functional teams to design, implement, and test new measurement methodologies
Provide research support for the identification and implementation of methods and best practices to improve product quality
Support Client Inquires including weighting studies and custom analyses relating to methodology
Work across Telecom products when advanced or custom analysis is required for product enhancement or specific business opportunities
B.S. or Masters (and 1-3 years of equivalent experience) degree in Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.) with outstanding analytical expertise
3-5 years of relevant experience
Knowledge in SQL, working with Algorithms, and large-scale databases
Experience in high-level programming language (e.g., Python)

Lead Data Scientist Resume Examples & Samples

Lead complex cross-functional research projects
Balance cost, quality, and schedule requirements to design measurement methods and approaches. Adapt as needed
Conduct usability research to develop and evaluate web/mobile applications and other electronic materials
Master’s degree or PhD in Social or Behavioral Sciences field such as Survey Methodology, Statistics/Sampling, Psychology, Sociology or related field or Bachelors with 3+ years research experience
High motivation with demonstrated capacity to work on multiple projects with set deadlines, under pressure
Collaborative team player with willingness and desire to work with global cross-functional teams of varying sizes
Quantitative research and analysis skills including competence with statistical software (Python, R, SAS or SPSS)
Knowledge of advanced cognitive or behavioral methodologies (e.g., eye tracking)

Lead Data Scientist Resume Examples & Samples

Work closely with Business Unit IT and IT Infrastructure team to implement Global Business Intelligence and Analytics service models
Gather, process, and analyze raw and often complex data from different sources using advanced statistical modeling techniques
Work with external partners to deliver advanced analytics related projects
Work with key stakeholders to clearly explain complex empirical results and support integration into business applications
Drive project execution by defining and implementing common BI and analytics process and standard delivery measures
Support business partners with ad-hoc analysis as needed
Masters Degree in a Statistics, Math, Computer Science or related technical field with a minimum of 2 years’ experience solving analytical problems using machine learning, statistics, and other empirical techniques OR a Ph.D. in a Statistics, Math, Computer Science, or related technical field required
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources is required
A strong passion for empirical research and for answering hard questions with data is required
Familiarity with relational databases such as SQL is required
Expert knowledge of at least one analysis tool is required (R, Python, Matlab, or SAS)
Experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)

Lead Data Scientist Resume Examples & Samples

Convert business problems into analytical solutions
Work with experts in a business area, understand underlying business process, strategy and execution
Assess the effectiveness of predictive (and cognitive) models
Work with client data and augment it with self-identified sources for greater predictive power
Identify approaches to improve the accuracy and effectiveness of analytics models
Create visual presentations of analytics results and translate quantitative insights for a non-technical audience
Deploy analytics into the business to create value
Team leadership and mentoring of junior data scientists in their related tasks
Assess and approve documents for contribution to the corpus upon which NLP and machine learning engine is founded
Design and conduct training of advanced cognitive models (Watson)
Work with a variety of experts in architecture, development and the financial services area
Investigate, evaluate and harvest (to product) the capabilities of advanced cognitive models (Watson) created by research
Assume additional responsibilities as assigned
Experience in one of the following fields: mathematics, statistics, operations research, engineering, economics or quantitative finance
Minimum 3 years Exposure to course work or projects in Natural Language Processing (NLP)
At least 10 years work experience in hands-on use of statistical packages (i.e. SPSS, SAS, R)
At least 5 years’ experience in identifying and defining requirements and turning functional requirements into a predictive or prescriptive analytics solution that addresses difficult business problems
At least 8 years in the banking or wealth management industry
PhD in Mathematics or Statistics
At least 15 years experience working with financial data (e.g., stock market, retail banking, asset management or insurance premia)
Minimum 10 years programming or scripting for data science (e.g., JavaScript, R, python, scala)
Sound knowledge of big data architectures and applications, including pros and cons

Lead Data Scientist Resume Examples & Samples

Lead a team of data science engineers that focuses on designing and implementing machine learning algorithms
Modeling user behavior patterns using various machine learning and data mining techniques
Generate and articulate hypotheses, experimental design, and being able to clearly communicate them to the rest of the data science team
Architect, implement and deploy new data models and data processes in production
Expertise in scalable machine learning techniques for clustering, single-class classifiers, HMMs, and graph analysis
Interface with Engineers and Product Managers to understand feature requirements
Perform exploratory POCs and evaluate various machine learning techniques for each problem and have the ability to perform a comparative study
Articulate meaningful comparative measures for each anomaly detection problem. Knowledge of ROC curves, precision, recall, or related metrics is crucial for results communication
8+ years of experience in data science including analytics/statistics/data visualization
5+ years of software development in Java including implementation of machine learning techniques
Minimum two years of full-time experience in: time series analysis; algorithm development and data processing using scripting languages Python and R; statistical inference, hypothesis generation and experimental design; information visualization for explorative data analysis; and building probabilistic and graph models
Critical thinking: ability to track down complex data and engineering issues, evaluate different machine learning algorithmic approaches and analyze data to solve problems
Complete fluency in data modeling and best industry practices for warehousing
Experience in Cassandra, Spark, MLLib is preferred
Understanding of scaling and performance of Big Data applications
Preferred experience in implementing security and threat intelligence
Agile driven. Experience with Agile development methodology with short release cycles
Excellent problem solving and communication skills with both technical and non-technical audiences
Masters, Ph.D., or equivalent experience in a quantitative field (computer science, mathematics, statistics, or similar fields.)

Lead Data Scientist Resume Examples & Samples

Significantly contribute to the development of the Nielsen Marketing Cloud’s data-related products and services
Design and conduct analyses to address client questions around digital marketing and consumer trends
Present complex analytical findings in easy-to-understand formats
Advise on processes and best practices

Lead Data Scientist Digital Renewables Resume Examples & Samples

Develop advanced analysis algorithms using sensor and
Develop processes and tools that predict deterioration and
Bachelor’s degree in Computer Science, Statistics,
Advanced degree (MS or PhD) in Computer Science, Statistics,
Ability to apply the specified technologies in concert with

Lead Data Scientist Resume Examples & Samples

Masters or Ph.D. (Computer Science, Statistics, Engineering, Physics, Mathematics, Economics)
Minimum 3 years' of Data Science experience for Ph.D. candidates and 5 years for Masters candidates
Minimum 3 years' of work experience in relevant domains (F&A, Procurement, Fraud, Infrastructure Analytics, eCommerce, Security, Retail, Supply Chain Health Care, Pharma, Retail) – with hands on experience handling data driven decisions
Minimum 3 years' of experience in at least one of the following – Supervised and Unsupervised Learning, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models
Minimum 3 years' of various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments
Minimum 2 years' of experience in statistical and other tools/languages (SAS, C, C++, Java, Python)
Minimum 2 years' of programming experience (C, C++, Java, SAS, Python)
Experience leading or collaborating with a team of data scientists in developing and delivering machine learning models that work in a production setting
Knowledge of UNIX or Linux environments

Cio-lead Data Scientist Resume Examples & Samples

Lead and manage the design, development, implementation and management of next-generation informatics and advanced analytics solutions
Assessing opportunities and making subsequent recommendations as to the analytical approach
Modeling types may include linear/logistic regression, neural nets, decision trees, fractional factorials, etc
Developing, testing, implementing, and potentially maintaining statistical modeling implementations
Interacting with clients of all levels to review expected outputs, applicability to business challenges, and model measurement
Guiding the data formulation process which may include identification of attributes, exploratory data analysis, data transformation, and temporal layout
Develop innovative thought leadership and contribute to the creation of points of view on Analytics offerings and insights
Master's in Statistics, Mathematics, Operations Research, Decision Sciences, Applied Probability etc
12 years overall experience in advanced analytics
Well versed in entire software development lifecycle; architecture, design and implementation
Strong communication skills (verbal and written) with an entrepreneurial bias
Minimum 8 years’ experience with two or more of the following

Lead Data Scientist Resume Examples & Samples

Develop further our local service offering and capabilities within econometric modelling & predictive analytics
Lead client projects modelling the effect of marketing initiatives to sales & other business outcomes
Driving the advanced analytics agenda throughout the company
Constantly evaluate, develop and utilize both DAN proprietary and 3rd party tools together with both local & international peers
Work closely with other Dentsu Aegis markets’ (e.g. Nordics, Poland, Netherlands, UK, Singapore) data scientists & experts on how to develop our capabilities and service offering further
Co-lead together with Lead Big Data Architect / Engineer the Dentsu Aegis Data Labs (Hadoop/AWS) design and development locally including ELT and ETL of data from source systems such as Facebook, Adform, DoubleClick, Google Analytics to HDFS/HBase/Hive/ and to AWS e.g. S3, EC2
On time delivery of deliverables, meeting personal objectives
Coach, mentor and train other Insight & Analytics team members & internal stakeholders where needed
Can-do attitude and the drive to get things done hands-on
Outstanding problem solving skills
Excellent communication skills – you will be in close contact with our clients & internal stakeholders constantly and need to be able to explain advanced analytical concepts to people who might not be experts on data or mathematics
Solid knowledge of statistical modelling, machine learning and predictive analytics
Ability to drive the development of our modelling service offering
Solid hands-on experience in AWS cloud environment and data technologies – Infrastructure, Architecture, Services
Solid knowledge in programming languages such as Java, Scala, Python, and shell scripting and Linux ecosystem
SQL is your second mother language
Proven track record of producing models and actionable insights using advanced statistical methods
Minimum M.Sc. in a Quantitative Science e.g. Economics, Statistics/Mathematics or Computer Science with an emphasis on algorithms, machine learning, data mining, statistics, econometrics, applied mathematics or similar field
Minimum 5 years of experience in statistical modelling & advanced analytics
Fluent Finnish and English is a must
Experience in cookies and other digital identificators
Experience in digital marketing platforms such as Google Analytics, Adform, Doubleclick, MediaMath, Facebook etc
Experience with Knime Analytics Platform or similar advanced platforms
Marketing/Media/Advertising industry experience is a huge plus
Experience with data visualization and BI tools such as QlikSense and/or Tableau
Ecosystem related certifications (Hadoop, AWS, Tableau, Google)

Lead Data Scientist Risk Technology Resume Examples & Samples

Multivariate Analysis, statistics, probability, linear algebra, basic computing and Algorithms
Knowledge of Financial products and Risk is a plus
Graduate degree in Mathematics, Statistics from reputed institutes like ISI, MMI would be preferred
Relevant technology
Experience with HDFS, MapReduce, Sqoop, Hive, HBase, Flume, Impala, Solr and Talend, R, Scala

Lead Data Scientist Resume Examples & Samples

Models: Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters. Follow best practices and standard processes for validation and refinement for analytic requirements. Apply algorithms to create descriptive, predictive, or prescriptive models to achieve analysis that directly supports strategic business goals and objectives. Assess performance of models and analysis and confirm that business objectives were met. Work with business unit stakeholders to develop and sustain analytics solutions
Data: Define data requirements and performance metrics to support analysis. Develop strategies for data collection or simulation to support business needs. Investigate highly complex data characteristics, quality, and meaning. Through visualizations and summarizations, define performance, identify trends, outliers, and drivers. Identify potential risks and suitability of data, working with business stakeholders to develop mitigations
Customer: Work with business partners on incorporating analytics into their processes. Determine stakeholder needs and ensure business value is realized. Communicate, advice, and collaborate with business partners and technical leads. Manage and monitor production and deployment. Work effectively with cross-functional deployment teams to deliver decision support visualizations and reports, algorithms, models, dashboards and/or tools
Strategy: Develop integrated roadmaps to meet priorities. Lead teams to assess current technology, evaluate emerging technology, adapt and create methodology, and engage with industry to identify trends and developing capabilities. Choose best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and applications, and evaluate strengths and weaknesses for their intended use. Evaluate and validate correctness of highly complex models and analysis and the applicability of the technology
Statistics, Mathematics, Computer Science, Computer Programming, Machine Learning, Big Data, Data Transformation (unstructured to structured), Data Preparation, Data Integration, Data Modeling, Data Definition
R, Python, Java, SQL, Tableau, SPSS Modeler, SPSS Statistics, IBM Cognos
Bachelor's or Master’s degree with 12 or more years' related work experience

Lead Data Scientist Resume Examples & Samples

7 – 1-0 years related experience withhealthcaredata analytics, statistical analysis, predictive modeling, machine learning techniques, and visualization tools
Comprehensive knowledge of healthcare insurance industry, products, systems, business strategies and products
Strong knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Experience with big data technologies such as Python, R, Hadoop, and Tableau preferred
Demonstrated ability to effectively communicate and negotiate across the business and in the external health care environment
Strong organizational, management and leadership skills

Lead Data Scientist Resume Examples & Samples

7-10 or more years of progressively complex related experience
Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas
Proficient skills and experience with rational databases, able to code and query data
Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources
Strong skills to effectively communicate and negotiate across the business and external health care environment
Previous Team Leadership experience. Able to coach and mentor team members
Demonstrates strong ability to communicate technical concepts and implications to business partners

Lead Data Scientist Resume Examples & Samples

Be a leader within the Data Science organization in Cloud technologies, Python and on how one marries the two to accomplish methodological work within that environment
You will be responsible for managing the Data Science Cloud environments; this includes provisioning new users, establishing new platform and managing the costs associated with a cloud presence
You will be responsible for developing and communicating the best practices on Python, Spark and Cloud technologies
Have a passionate for data. Everything we do is centered on data
Take on design challenges
Be self-driven and have a sense of urgency
Be someone who can lead and set an example in efficient designs and accurate results

Lead Data Scientist, Data Center Resume Examples & Samples

Leverage data and business principles to create and drive large scale FB Data Center programs
Define and develop the program for metrics creation, data collection, modeling, and reporting the operational performance of Facebook’s data centers
Work cross functionally to define problem statements, collect data, build analytical models and make recommendations
Use analytical models to identify insights that are used to drive key decisions across the organization
Routinely communicate metrics, trends and other key indicators to leadership
Provide leadership and mentorship to other members of the team
Leverage tools like R, PHP, Python, Hadoop & SQL to drive efficient analytics
BS degree in a business or technical discipline required
7+ years of prior experience in a role with heavy emphasis on data analysis and metrics development required
5+ years of hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across diverse stakeholders
5+ years of SQL development skills writing complex queries
2+ years of experience with packages such as R, SPSS, SAS, STATA, etc
Experience using data access tools and building dashboards using large datasets and multiple data sources
Analytical ability and communications skills

Lead Data Scientist Resume Examples & Samples

Provide leadership, guidance and develops technical capabilities across the enterprise
Performs complex tasks executing and modifying processes, plans and design when needed
Able to translate outcomes into business opportunities
Applies scientific techniques to validating outcomes
Versed in statistical analysis packages, such as SAS, Python, R, RAT, SPSS, etc
Past experience with Data management tools; relational databases (such as Oracle, Teradata, SQL Server), Data Manipulation tools (such as DataStage, Informatica)

Lead Data Scientist Resume Examples & Samples

A harmonious, informal, international and playful work environment
Ability to join multiple internal interest groups in eBay in trending topics like Data Science, Mobile Development, Customer Experience and more
Apply machine learning and advanced statistics on a global scale to design and implement models and algorithms that solve real-world business problems like customer segmentation, channel attribution, marketing performance and yield optimization
Work closely together with global tech and product teams to develop new ideas, test them and measure success
Translate complex and sometimes ambiguous data and insights into concise and actionable recommendations

Lead Data Scientist Resume Examples & Samples

MS/PhD degree in Statistics, Computer Science, or related field
Demonstrated proficiency in computational tools such as Python, R, SPSS, SQL and a strong understanding of applied statistics theory
Passion for empirical research and developing data-driven solutions to difficult business questions
Ability to translate unstructured business problems into an abstract mathematical framework
Skills in or familiarity with data cleaning, natural language processing, machine learning, artificial intelligence, visualization, network analysis, and distributed computing are a plus
Familiarity with database concepts and structures
Effective at communicating to leaders at all levels, including the ability to convey complex quantitative analyses clearly
Ability to work in a fast paced environment with competing priorities
7-10 years professional experience, with some experience in financial services or similar industry
Preferred: prior management experience, experience with HR data and/or knowledge of Human Resources processes and principles

Lead Data Scientist Resume Examples & Samples

Master degree or above in ML or Statistics or a related quantitative application. A Ph.D. is strongly preferred
We find people with applied experience in a field with very large and complex data sets such as Biology, Physics, or Social Sciences do well
Experience with at least one of the ML related technologies (SAS, SPSS, RevR, Azure ML, MapR)
Experience in data prep with industry standard tools like R, Python, etc. and with Visualization tools (SAP, QlikView, PowerBI, etc.)
Languages: R, Java, Python, F#, C#
Analytical tools, languages, or libraries: SAS, SPSS, R, Mahout
Additionally, experience in any of the following will be considered favorably
Industry Experience
Familiarity with AWS or the Microsoft Azure platforms is a plus
Familiar with map reduce framework, and parallel/distributed processing such as Hadoop/Spark/Dryad/Scope

Lead Data Scientist Resume Examples & Samples

Manage a portfolio of complexdata-scienceprojects, proactively communicating vision and status to ensure that accurate expectations are set and met across all levels of stakeholders
Play a leading role in all stages of the data-science project life cycle, from identifying suitable data-science project opportunities to production deployment and operationalization
Evangelize data science at all levels of the business to achieve organizational awareness and stakeholder buy-in
Engage with the widerdata-sciencecommunity by following leading industry sources, attending meetup groups, attending relevant conferences, etc. to ensure that S&P GMI’s data- science tools and techniques are state-of-the-art
Provide mentoring for other team members on how to successfully identify, complete, and deploydata-scienceprojects
Master’s or Ph.D. in Math, Statistics, Engineering, Computer Science, or related field; or equivalent experience
5+ years’ experience in a data-science or advanced data-analysis role
Demonstrated success in managing and deploying complex data-science projects
Demonstrated success in interfacing with business stakeholders to frame business problems as data-science problems and to translate data-science results into outcomes useful to business stakeholders
Strong English speaking and writing skills required
Occasional travel is required
Mastery of data analysis scripting languages, such as Python or R (Python preferred)
Extensive knowledge of advanced statistical data analysis and modeling
Experience with “big data” technologies, e.g. Hadoop, Spark, NoSQL data stores
Proven ability to collaborate effectively with a diverse, global group of business, operational, and technical stakeholders
Proven ability to communicate complex mathematical models and processes in straightforward, non-technical language

Lead Data Scientist Resume Examples & Samples

Provide thought leadership around advanced machine learning techniques
Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope
Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems
Provide solutions but not limited : Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization
Lead and groom the data scientist pool on solving complex problems using data science
Conduct ML training for Fractal via Fractal Analytics Academy
5+ years of demonstrable experience designing ML/statistical solutions to complex business problems at scale

Lead Data Scientist Resume Examples & Samples

Apply statistical and advanced analytical techniques to optimise and improve business performance for any Barclays Business or Function for specific complex business problems and use cases (eg. Fraud, Complaints, Customer Journey etc.)
Ensure that strategies and policies are aligned with the Business Unit or Function’s strategic aims and are in compliance with statutory and regulatory requirements
Ph. D. preferably in Data Science or Quantitative discipline
Experience in Machine Learning / Artificial Intelligence
Experience of implementing data capabilities to extract business value – in particular open source technologies
Data technology literate with a detailed understanding of data architecture and data tools and technologies, in particular in memory/in database and open source technology (eg. Hadoop, Scala, SQL, Python, Java, R, SAS, Rapidminer)
Excellent and substantial analytical experience and financial services experience is also advantageous but not essential
Experience managing multiple portfolios, and international experience is also advantageous but not essential
Proven leadership qualities & the ability to develop colleagues
Ability to interface with different levels of the business effectively to ‘sell’ ideas and concepts
Proven record of success in strategy development, problem solving, leadership, governance, and business innovation required

Lead Data Scientist Resume Examples & Samples

Inspiring, teaching, leading, hiring and retaining a highly skilled team of analysts and data scientists
R&D of cutting edge algorithmic solutions to real-world problems producing both IP (papers and patents) as well as shippable product
LIaising with various stakeholders internally and externally as a domain expert for all things quantitative
Using statistical and machine learning principles to discover hidden patterns, perform predictive analysis and build models that drive insights
Data querying, transforming, cleansing and linking
Communicate findings internally and externally, generating reports and dashboards, building narratives that resonate with clients and stakeholders
Become and stay an expert in current and emerging techniques and tools
Strong foundations in relevant mathematical and statistical disciplines
Experience in hiring and leading successful teams
R, Python, Scala and Java are some of the tools in your toolbelt
A bayesian at heart but can report significance if asked
Make things work and get things done
Are addicted to numbers and charts and can manipulate them programmatically by leveraging BI tools
Back all arguments with data and speak database language
Are a great communicator, able to articulate complex concepts in easy to understand language

Lead Data Scientist Resume Examples & Samples

Support Development of Advanced Analytics practice: In cooperation with VP of Retail & Customer Analytics, develop best in class advanced analytics practice for VF and drive analytic culture both corporately and within the brands
Brand Consulting: Perform ongoing analytic projects in support of brand strategies and tactics. Topics will include, but not limited to direct marketing optimization, incorporation of unstructured information, sales attribution, ROI analysis,
Support BI Reporting: In collaboration with brand and DTC leadership, support the development of BI dashboarding to highlight KPI across brands, locations and channels. Work will include multi-source data integration and development in BI tool (Cognos, Tableau)
Support Process Improvement: Bring industry best practices to analytic processes to create time efficiencies, so team can broaden efforts to other focus areas. Bes tpractices
Team development: Through peer-to-peer training and direct reports, develop internal talent to expand advanced analytics capabilities – including modelling, automation, and data visualization/presentation techniques
15+ years of experience in data & analytics role
BA/BS required (Masters strongly preferred)
Deep expertise in complex modeling and analytical methodology including, but not exclusively, clustering, time series/forecasting, predictive & optimization modeling, anova, experimental design, etc
Platform fluency: SAS, R, SQL, Big Data tools (preferred), BI Tools
Leadership skills to manage and develop both direct and indirect reports, ability to lead through influence

Lead Data Scientist Resume Examples & Samples

Manage a highly talented team to prioritise and solve real-life business problems
Use expert knowledge of data science techniques and statistics to both lead and regularly deliver complex projects with a robust commercial approach
Deliver high quality actionable data science by performing ad hoc analysis to predict, measure and interpret business trends
Conduct detailed analysis to determine trends and data relationships; e.g. cause and effect of behaviour
Share data science results in a commercial and compelling manner, with a strong emphasis on visualising insights with impact
Demonstrate a culture of analytical ‘curiosity’ through innovative, data driven insights on business questions
Identify valuable new data science opportunities and work closely with Big data / IT teams to prioritise and scope improvements
Engage the analytical community by pushing best practice, helping coach data scientists and upskilling business analysts
Postgraduate degree or PhD level in numerate subject e.g. Mathematics, Statistics, Operational Research, Machine Learning
Strong statistical background applied across a number of areas; Segmentation, NLP, predictive modelling and recommendation systems. Experience using both simple and complex statistical models such as; regression, clustering, affinity analysis, neural networks, random forest, dimensionality reduction
Comprehensive proficiency in the following key programming languages: Python, Java, R, SPARK, SQL as well as software development skills
Expert in mining large & complex data sets - both structured and unstructured data and including (but not limited to) efficient extraction of data, transformation and application
Able to demonstrate innovation in approach and application
Development of collaborative relationships with colleagues across the business
Clear communication skills are essential as the role will require translating data science into actionable insight and influencing at different levels within M &S
Experience and keen interest in coaching, managing & developing Data Scientists

Lead Data Scientist Resume Examples & Samples

Implementation and testing of statistical models in Python and Java
Maintenance and operations of Algorithm team software
Researching and evaluating applications of mathematics and machine learning to our products
Performing data analysis on large data sets
Communicating results of work with teammates and company stakeholders
4+ years of years of relevant experience on a team blending data science and software development

Principal Lead Data Scientist Resume Examples & Samples

12 years of relevant experience and a Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning or its equivalent or
8 years of relevant experience and a Master’s degree Computer Science, Applied Math, Statistics, Machine Learning or
5 years of relevant experience and a PhD Computer Science, Applied Math, Statistics, Machine Learning
8+ years of experience building and applying sophisticated statistical models
8+ years experience in data mining, machine learning and building statistical models
Experience communicating insights from complex data to non-technical audiences
Proficient in R, SAS, MATLAB or equivalent
Experience in general programming language such as Ruby, Python, Perl, Java, or C
Experience with Hadoop, Map/Reduce, Hive or equivalent software
Experience in sales and marketing analysis
Experience with modeling demand curves
Ability to influence at all levels of the organization
Proven success executing multiple parallel projects

Lead Data Scientist Resume Examples & Samples

Deliver presentations on analytic topics and results
Work closely with the live game teams to optimize play balance, game economies, and to identify and close out exploits
Mine current game data and user trends to inform the production of the next generation of products. Evaluate and quantify the effects of ongoing changes to games through statistical methods
Microservice application architecture (e.g. Mesos, Marathon, Kubernetes)
High performance computing (e.g. parallel computing, GPUs)

Lead Data Scientist Resume Examples & Samples

Lead multiple complex cross-functional research projects
Direct research, planning, and budget for various methodology evaluations and tests
Correspond and communicate with key internal stakeholders and external suppliers. Communicate research findings and recommendations effectively. Use judgement to prioritize and modify recommendation as needed. Manager project requirements and schedules
Master’s degree or PhD in Social or Behavioral/Social Sciences field such as Survey Methodology, Statistics/Sampling, Psychology, Sociology or related field with 5+ years research experience or Bachelors degree with 7+ years experience
Quantitative research and analysis skills including competence with statistical software (Python or R preferred)
Proficiency in non-English languages (Spanish or Mandarin preferred) and understanding of multiple cultures

Lead Data Scientist Resume Examples & Samples

· PhD in Engineering (computer science, robotics, math, statistics, machine learning)
Experience building data pipelines for production systems at large scale
Hands-on expertise of Python for ETL tools and data analysis (Numpy, Scipy, Pandas, Scikit-learn, Matplotlib, Jupyter, PySpark)
Knowledge of UNIX environments (Ubuntu), scripting skills (e.g., awk, shell)
Experience with the following technologies is a plus

Lead Data Scientist Resume Examples & Samples

Statistical & Probabilistic Analyses
Programming/Software Development
Holistic Problem Engineering
Employ sophisticated analytics programs, machine learning, and statistical methods to prepare data for use in predictive and prescriptive modeling
Prepare and clean data for use in advanced analysis
Explore new data sources and determine how best to use the data in advanced analyses
Be intellectually curious and enjoy learning
Communicate and liaise between the Technical, Process, and Business Teams to ensure solutions and conclusions are based on real data
Drive groundbreaking change in moving the company to a data-driven decision making business
7+ years of experience in business environment as a data scientist/business analyst/quantitative analyst
Working experience in a utility/energy industry
Active github repository and stackoverflow account
Data science competition entries (kaggle, kdnuggets, etc.)

Principal Lead Data Scientist Resume Examples & Samples

Design, develop, and deliver AI/machine learning enabled solutions for web fraud detection, behavioral bot detection, user behavioral analytics
Design scalable processes to collect, manipulate and analyze large datasets in a production ready environment, using Akamai's big data platform
Develop working prototypes of algorithms and evaluate and compare metrics based on the real-world data sets
Contribute to security communities through papers, blogs, and presentations
8 years of relevant experience and a Bachelor’s degree in Computer Science, Applied Math, Statistics, Machine Learning or its equivalent or
5 years of relevant experience and a Master’s degree Computer Science, Applied Math, Statistics, Machine Learning or
3 years of relevant experience and a PhD Computer Science, Applied Math, Statistics, Machine Learning

Lead Data Scientist Resume Examples & Samples

7 – 10 or more years of relevant programming and marketing data analytic experience
Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, and data visualization
Strong skills to effectively communicate and negotiate across the business and in the external health care environment

Lead Data Scientist Resume Examples & Samples

7+ years related experience with healthcare data analytics, statistical analysis, predictive modeling, machine learning techniques, and visualization tools
Solid understanding of healthcare industry, products, and systems and business strategies
Experience with big data technologies such as Python, R, Hive, Hadoop, and Tableau preferred
Demonstrated ability to effectively communicate and negotiate across the business and in the external healthcare environment

Lead Data Scientist Resume Examples & Samples

Understand business needs and create well defined analytical engagements to drive value
Lead analytics team on project work providing measurable ROI to the company
Build best advanced analytics solutions around common business needs across the world
Develop associate data scientist talent, creating increased capabilities for the team
Build collaboration and awareness in global analytics community
Masters or Doctorate in Quantitative Field (Physics, Math, Statistics, Operations Research, Engineering, etc.)
≥ 3 years of experience as a data scientist/analytical consultant or similar delivery position (≥2 years for doctorate level)
Programming proficiency in at least one statistical tool language: SAS, SPSS, R, Python. Preference towards at least one open and one closed source
High proficiency in classical statistical and mathematical modeling methods required
Proven proficiency in delivering technical results to key stakeholders

Lead Data Scientist Resume Examples & Samples

PhD from top school & strong aptitude toward problem solving and working with large data sets
Prior experience applying strong mathematics fundamentals in data analysis and modeling
Strong algorithm & data structure knowledge. Hadoop, Hive, Lucene, Nutch, MapReduce or other related big data technology experience or aptitude
Outstanding communication skills is a must
Experience working with big data sets or coming out of a highly scalable, distributed environment
4-5 years experience in Ad Tech, such as Ad-selection and bidding optimizations

Lead Data Scientist Resume Examples & Samples

Developing actionable quantitative marketing models in the areas of marketing effectiveness, ROI, pricing and optimization
Review, direct, guide, inspire the analytical work of more junior staff
Develops business requirements, assesses current reporting capabilities, and makes recommendations for improvement. Researches new technologies related to BI and makes recommendations or leads implementation of new systems
Advanced data mining and predictive modeling skills (e.g., regression, segmentation, machine learning, SEM, MCMC, Bayesian, boosting, cross-validation)
5+ years of experience in developing statistical targeting models using SAS and or R and or SPSS with Strong SQL skills a plus
Expert knowledge of SAS, R, Stata, SPSS, Python, C++
Ability to partner with internal and external clients
Project management

Lead Data Scientist, Data Center Resume Examples & Samples

Define and develop a program for data aggregation and automated tool development that supports the management of projects under Facebook’s Data Center Strategy and Development team
Work with team of Analysts, Data Scientists and Strategy Managers to drive tactical initiatives
Work cross functionally with Data Engineering and Analytics team to define problem statements, define data collect requirements, build solutions and make recommendations
Partner closely with other data scientists to integrate business rules and analytical output into applications
Architect highly available, scalable, and secure systems
Comply with change management policies to ensure data integrity and system stability
Build interfaces for systems and high-quality tools
Use analytical methods and visualization techniques to surface insights that are used to drive key decisions across the organization
Passionate about User Experience and that should reflect in your work
Technical ownership of projects and managing resources
Routinely communicate development status and plans to senior leadership
Leverage analytics tools and languages like Tableau, R, Java, PHP, Python, JavaScript & SQL to drive efficient development and analysis
7+ years of experience in analytics and application development
3+ years programming in at-least one of the following languages (Java, PHP, Python, JavaScript)
5+ years of SQL development skills writing queries, handling large volumes of data, performance tuning
Experience with Tableau to visualize metrics and report insights
Ability to effectively distill and communicate technical details to all organizational levels
Experience owning projects from end-to-end
Understanding of statistics and modeling techniques

Lead Data Scientist Resume Examples & Samples

Work closely with the aircraft systems teams to gather understanding of data and domain knowledge
Identify critical data sources necessary to predict each failure type, transform and fuse various data sources to prepare for analytics
Build advanced analytics algorithms to predict component life, impending failure and recommendation systems
Mentoring a team of data scientists in building predictive analytics algorithms for machine, component failure
Work closely with external partners to transfer knowledge on aircraft predictive maintenance
You have extensive demonstrable experience in building predictive analytics and condition monitoring systems in industrial domain
Experience with the development of machine learning algorithms and predictive models

Lead Data Scientist / Big Data Lead Architect Resume Examples & Samples

Minimum of 15 years of Data Architecture - Technical Leadership experience
Minimum of 5 years of Hadoop experience to perform analysis of data
Minimum of 7 years of experience with ETL/Metadata tools to process data from various sources

Lead Data Scientist Resume Examples & Samples

Supervise other decision scientists on large analytics projects
Decision Sciences project leader
Architect, build, test, and maintain algorithms for deployment in real-time systems at scale
Master's degree (M. S./M. A.) or Post Doctorate degree (PhD) and 5+ years related experience and/or training; College degree must be in quantitative discipline (e.g. Math, Statistics, Economics, Biostatistics, Operations Research, Physics, or other quantitative discipline)
5+ years of hands-on coding experience building statistical models in SAS (R, Python, SPSS etc.)
Prior experience leading analytics projects

Lead Data Scientist Resume Examples & Samples

Predicts outcomes based on rigorous experimental design and statistical method
Synthesizes insights and documents findings through clear and concise presentations and reports
Creates repeatable solutions through written project documentation, process flowcharts, layouts, diagrams, charts, code comments and clear code
Minimum of 10+ years of experience in applied data science and programming in one or more of the following industries: Financial Services, Healthcare, Retail, ecommerce, Consumer Packaged Goods, Oil & Gas, Telecommunications or Manufacturing
Strong consulting experience (e.g. with a Big 4) with demonstrated success related with delivering client data science engagements
Excellent verbal and written communication skills – can assist in creating PowerPoint decks, Statements of Work and formal documentation of results
Strong client facing skills – able to represent CenturyLink professionally and deepen client relationships
Ability to work in a team environment and manage their own deliverables within the context of a larger project

Lead Data Scientist Resume Examples & Samples

Lead the development and testing of hypotheses across all functional areas at Paktor
Play a key role as a member of the analytics team
Research and apply multidisciplinary techniques, findings and approaches to Paktor problems
Design, implement and analyze algorithms which substantially impact Paktor features
Participate in the development of prototypes and guide solutions into production
Serve as a primary person to consult on complex data science issues, contributing key ideas

Lead Data Scientist Resume Examples & Samples

Collaborate with the team to improve the effectiveness of business decisions through the use of data
Collaborate with engineers to implement and deploy scalable solutions
Use data mining and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights, which in turn can provide a competitive advantage or address a pressing business problem

Lead Data Scientist Resume Examples & Samples

Define and help develop data driven algorithms and systems which directly inform product strategy and drive product experiencs - based on the strategic and product vision for the division and wider BBC
Plan, design, and develop large scale data mining, analytics, algorithms and recommendation systems for both internal users and for customer audiences and scale user facing experiences
Continuous improvement of the algorithmic and data driven elements of the product, identifying and prioritising enhancements, communicating them to the product and engineering team to enable implementation
Use analytics and data mining to uncover, investigate and drive user behaviour; to establish insight into product performance and to use this data to drive ideas, features and product improvements
Plan, design, and develop analytics and visualisations at the customer level to gain a better understanding of the BBC audience
Manage the priorities and workload of other data scientists. Own and develop product/area specific data science roadmaps
Develop campaign segmentations and scoring models for use in direct, digital and social marketing activity
This role is suited to someone with experience of working with analytics and data, with a strong background in maths, statistics and computer systems – ideally educated to Masters level in a relevant field
You’re analytical, naturally inquisitive, and enjoy problem solving. You’re driven to understand why things happen and have a proven track record of influencing big organisations to use data, algorithms and systems to understand and improve digital products
You excel in

Lead Data Scientist Resume Examples & Samples

Lead, coach and mentor a team of data scientists
Experience in R or Python using scikit-learn, statsmodels, MunPy and SciPy libraries
Experience in Spark MLib or Mahout a big plus
Experience in using tools like SAS, SPSS or STAT
Intellectually curious
Willing to learn; develop expertise in areas outside of core comfort zone
Ability to learn technology quickly through instruction and self-training

Analytics Lead Data Scientist Resume Examples & Samples

Consultative mindset and experience
Able to identify opportunities, manage end to end projects and processes to support our internal clients
Be constantly up to date with analytics and measurement leading practices to drive innovation, automation, and improvement of our capabilities that support proactive and predictive decision support
Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and implement key processes
Use statistics, NLP and machine learning techniques to create scalable solutions for business problems
Should be able to suggest analytical approaches and be able to guide junior team members on the implementation
Seek and act on opportunities to share information relating to analytics and measurements initiatives and outcomes across EY Knowledge and other Markets teams
Proactively raise insights to support real-time strategic decision making of EY Knowledge leadership
Provide trend and pattern analysis (e.g from social media or search results) for knowledge related products and services
Deliver effective metrics and measurement to EY Knowledge and the business to help shape knowledge priorities, understand progress and provide context for planning
May need to oversee and/or collaborate with IT resources and contractors who integrate and develop solutions that support analytic opportunities
Understands the firm’s go-to-market strategy and service delivery models, how core business services support the service lines, and how knowledge enables exceptional client service and high performing teams
Understands EY Vision 2020 and Knowledge Transformation, and ensures key knowledge analytics and measurement strategies are aligned to them
Deep knowledge and understanding of analytics and how it can enhance business activity in a global environment
Proven track record in analytic problem solving and predictive modeling
Strong written and verbal communication and storytelling skills, able to engage at a senior executive level
Able to work to tight deadlines, multi-task and deliver on commitments
Able to take complex theories and present them simply and clearly
Leadership, management and relationship skills, including working in a globally dispersed, integrated team, delegating, coaching, defining expectations, and building relationships focused on developing world-class practices
Understanding of the business and demonstrated commercial acumen using commercial language that presents knowledge activities in the context of business objectives
Strong knowledge in Python (NLTK, SciPy, NumPy, Pandas)
2+ years of experience in Data Analytics using Python/R
Data Mining and Big Data (preferred Hortonworks Data Platform)
2+ years Machine Learning in Java/Python/R
Understanding of Statistical concepts like Regression, Random Forest, SVM etc.
Knowledge in distributed computing frameworks like Apache Spark
Artificial Neural Networks and Deep learning
Experience in a technical, engineering, or R&D role
Ability to direct a project teams and create an environment which supports generating and sharing creative ideas and solutions
Works with a geographically dispersed team , able to work independently, highly self-motivated
Limited supervision from Knowledge Analytics Leader; is expected to act autonomously in line with EY Knowledge and EY strategy
Experience leading measurement and analytics program in large, complex organization

Lead Data Scientist Resume Examples & Samples

Create hypotheses, conduct statistical analyses and build models to drive insights and strategic recommendations
Develops innovative and effective approaches to solve client's analytics problems and communicates results and methodologies
Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices
Communicate insights to key stakeholders, which include technical and non-technical audiences. Must be able to understand, interpret and convey technical information to others
Use systems engineering framework to create and execute an interdisciplinary process (processes, workflow, and technology) that ensures that customer and stakeholder's needs are satisfied
Expected level of experience in several of the following software development platforms: VB, JAVA, Python, PHP, C, C#, C++,.Net development, MS Visual Studio
Must have experience with Automation tools such as WinAutomation, Blue Prism, or other RPA platforms
Experience utilizing ETL tools to transform data and integrate systems
Strong communication and collaboration skills with the ability to effectively communicate with all levels from front line functional associates to senior leadership
Must have Lean Six Sigma experience
Must have independent Project Management and team leadership experience
Ability to obtain, cleanse, merge and Analyze data from multiple sources
Experience working with large amounts of real data with SQL
Passion for surfacing the insights from large data sets and building a data-driven narrative
Ability to empower data driven decisions through process and data evaluation and analysis
Proven ability to build and present business cases to all levels of management

Lead Data Scientist Resume Examples & Samples

Extensive knowledge of Web Analytics platform- Adobe/Site Catalyst, Google Analytics, Core Metrics
HTML, JavaScript, SQL, Adobe (formerly Omniture) implementation knowledge required
2+ years of hand-on experience in one or more areas- A/B Testing/Data Science/BI Engineering
2+ years of experience with programming languages such as Java, Python, Perl, Ruby, R, Hive, etc
Experience with Big Data Technologies and Machine Learning-Hadoop, Kafka, RESTful APIs, Ozzie, Cassandra a plus
E-commerce domain experience a plus

Lead Data Scientist Resume Examples & Samples

Execute solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
Build data-science and technology based algorithmic solutions to address business needs
Anticipates and Evaluates impact of analytical solutions on related projects as part of the developing complex analytical algorithm/solutions for various business problems
Execute large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models, Text mining
Stays current with analytical advancements, determine and deliver through right algorithm for suitable solutions
Prioritizes workload, ensure high quality of solutions, adherence to standards and best practices, high performance, and timely delivery
Understands interrelationships and impacts of data and technology upon the Target environment
Participates in project estimation & reviews
Provides advanced analytical knowledge and expertise to the broader organization
Identifies and escalates issues and, when necessary, pulls appropriate teams together to solve challenge/issue, etc
Encourages team members to deep dive into analytical problems
Participates in internal & external technology & analytical forums and discussions

Lead Data Scientist Resume Examples & Samples

Implements solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
Deploys data-science and technology based algorithmic solutions to address business needs for Target’s digital business
Understand and evaluate new commerce data technologies to determine the effectiveness of the solution and its feasibility of integration with Target’s current digital commerce platforms
Utilize recommender systems, collaborative filtering techniques, propensity modeling to drive Target business priorities
Configure and implement Natural Language Processing, Latent-Dirichlet Analysis, Topic Modeling, search relevance
Design large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models

Lead Data Scientist Resume Examples & Samples

Manage the data processing and analysis strategy across multiple business divisions
Participate in the development of data models and representations for data on different platforms (ElasticSearch, MSSQL, MySQL, MongoDb, Hive/Spark SQL, etc..) targeting analytical reports and dashboards
Decipher business logic and map objectives to data flows
Participate in building statistical models for business process and digital resource consumption optimization
Leverage machine learning and related tools for various insights into trending data
Ability to transact and transform data for OLAP queries (data cubes, star schemas, etc)
5+ years experience with big data warehousing and data mining
3+ years experience with more than one mainstream visualization software (Pentaho, Tableau, Looker, etc)
Proficiency with JavaScript visualization libraries like D3.js and Web frameworks
Excellent SQL skills including ETL Familiarity with Big Data technologies and NoSQL stores like Spark, ElasticSearch, Cassandra is a plus
Familiarity with R, Python, Java, Scala or Spark MLlib is a plus
Experience with Redshift is a big plus

Lead Data Scientist Resume Examples & Samples

Comprehensive knowledge of healthcare insurance industry, products, systems and business strategies required
5 or more years related experience with healthcare data analytics, statistical analysis, visualization tools, predictive modeling/machine learning techniques
Expertise in SQL and programming languages such as SAS, R, Python
Expertise in visualization tools such as Tableau
Consulting experience working with healthcare client companies is a plus

Lead Data Scientist Resume Examples & Samples

Strong quantitative and analytical expertise that covers statistics, machine learning/ data mining, experimentation methodology
Multiple years of hands-on experience in leading advanced analytics tools (e.g. R, SPSS, SAS or MATLAB)
Multiple years of hands-on experience in conducting analyses on unstructured as well as structured/ semi-structured data (including appropriate data pre-processing using e.g. SQL and programming/ scripting languages such as Python, Java, Scala)
Experience with large-scale Big Data analytics tools (e.g. Apache Hadoop Ecosystem, Apache Spark, Apache Mahout, Apache Flink and/ or Apache Kafka) will be a strong advantage
At least 3 years of experience in applying Statistics/ Data Mining/ Machine Learning methods
At least 3 years of experience in conducting analytics on structured and unstructured data
At least 3 years of experience in advanced analytics tools (such as R, SPSS, SAS or MATLAB)
Experience in Relational Databases/ SQL
Experience in data processing using Java, Python or Scala
At least 3 years of experience in a consulting or analyst role
Master's Degree or PhD
Experience in Apache Hadoop Ecosystem/ Apache Spark or other emerging “Big Data” technologies
Experience with NoSQL or Cloud Data Management

Corporate VP, Lead Data Scientist Resume Examples & Samples

Independently leads data analysis and modeling projects from project/sample design, business review meetings with internal and external clients deriving requirements/deliverables, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and implementation support
Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Shares knowledge within Analytics group
Proactively and effectively communicates in various verbal and written formats with internal stakeholders on product design, data specification, model implementations, with partners on collaboration ideas and specifics, with clients and account teams on project/test results, opportunities, questions. Resolves problems and removes obstacles to timely and high-quality project completion
Create project milestone plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer support; answering questions, resolving problems and building solutions
Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or operations research OR Associateship/Fellowship in one of the Actuarial Societies
5+ years of experience with statistical modeling using large and complex datasets in a business setting
3+ years of experience in the insurance industry (life, health or P&C)
Experience with data visualization (e.g. R Shiny, Spotfire, Tableau)
Assets under management represent Consolidated Domestic and International insurance Company Statutory assets (cash and invested assets and separate account assets) and third party assets principally managed by New York Life Investment management Holdings LLC, a wholly owned subsidiary of New York Life Insurance Company

Lead Data Scientist Resume Examples & Samples

Design, develop, and implement Big Data platforms using a Cloud architecture
Extend Jemstep data with third party sources of information, as required
5 to 10 years professional experience
3+ years of experience with in big data analytics, management consulting, or comparable role in corporate setting
3+ years in financial services preferred
Detailed knowledge of Apache Spark and developing data processing and analysis algorithms using Scala
Extensive predictive analytics experience with Scala, Java or Pyspark
Familiar with Agile software development
Self-motivated, Capable of working with little or no supervision

Senior / Lead Data Scientist Resume Examples & Samples

Identifying technical implementation options and issues; enacting solutions for data management; developing automated methods for ingesting large datasets into an enterprise-scale system; conducting data analysis research and data modeling; and rapid prototyping for experimentations
Knowledge of data science or data analytics
Knowledge of counterterrorism data sets and handling procedures
Understanding of Big Data tools
Experience with continuous software integration, test and deployment
The ability to work within a dynamic programmatic environment with evolving requirements and capability goals
Strong written and verbal communication
Demonstrated experience working counterterrorism issues in the IC or DOD

Lead Data Scientist Resume Examples & Samples

Ability to connect analytic results to business understanding
4+ years of experience with data analysis, preferably with digital data and structured and unstructured data
4+ years of experience with modeling packages such as SPSS, SAS, Python, R
4+ years of experience in analytics consulting
Experience with executive level presentation of analytic outputs and results and recommendations
Demonstrated leadership on analytics projects with the ability to manage multiple projects concurrently,
1+ years experience with programmatic marketing
1+ years experience with latest content marketing/SEO strategy trends
Ability to gain consensus
Ability to lead change and transformation
Passionate about data science and self motivated to stay abreast of advances in advanced analytic techniques
Desire to work in a team based dynamic and fast-paced business culture

Lead Data Scientist Resume Examples & Samples

Provide analytics support to the AML Transaction Monitoring team in areas such as threshold tuning/optimization, customer/account segmentation and data-driven decision making and insights. This will involve techniques such as hypothesis testing, regression analysis, optimization methods and clustering analysis
Engage in a range of innovative PoC/Prototype development activities including the data-driven automation of various currently manual processes, the development of case scoring models and the generation of enhanced AML detection capabilities through the application of machine learning techniques
Support the growth and scope of the Financial Crime Analytics team through the generation of ideas. This will involve engaging with key stakeholders to identify their key problems and needs, and keeping up-to-date with external industry development through own research and attending key peer-group meetings and conferences
Provide analytics support to the AML Investigations team in areas such as the development of case-prioritization scoring processes, enhanced alert-case merging and ad-hoc insight requests
Support in activity relating to the Banks Model Risk Management policy where required
Engage with our internal Technology team to provide requirements on the development of strategic data infrastructure ensuring that our infrastructure capability aligns to the needs of the Financial Crime Analytics team as well as to the needs of our wider stakeholders
Quickly learn/adapt to new business area(s), data systems and technologies
Use your experience to proactively identify problems that need a data-driven solution
Apply your technical skill-set in designing and building such solutions
Effectively communicate (written and verbal) these solutions to senior management
A Bachelors degree in a quantitative discipline with a significant Statistics component (Statistics, Mathematics, Operational Research, Business Analytics, Computer Science, Computational/Mathematical Finance, Physics, Economics/Econometrics). Masters or Ph.D. a plus but not necessary
3+ years experience in a role involving the application of statistical analysis, predictive modelling, machine learning and optimization – experience within a large corporate/Financial Services institution favorable
3+ years hands-on experience in the use of statistical analysis and data manipulation tools (SAS, R, Python) – some experience in Python preferred
3+ years hands-on experience in applying a wide range of statistical and machine learning techniques (e.g. hypothesis testing, regression, clustering, decision trees, machine learning models)
Exposure to common Python libraries for data manipulation, statistical analysis and machine learning (Pandas, Scikit, TensorFlow, h2o.io etc) desirable
Experience with visualization tools (e.g., Spotfire, Tableau) beneficial
Exposure/Experience with distributed-data architecture (Hadoop/MapReduce, Spark) and cloud architecture such as AWS a plus
Knowledge and exposure to common Model Risk Management (e.g. SR 11-7) a plus
Knowledge of Financial Crime legislation (specifically Anti-Money Laundering / Terrorist Financing) and exposure to common "Transaction Monitoring" systems not required but will be seen as a plus

Lead Data Scientist Resume Examples & Samples

Strong analytical background in statistical modeling, machine learning / deep learning, NLP (natural language processing), multi constraint optimization problems
Experience with recommender systems, CF (collaborative filtering), content based filtering, personalization, data mining tools, machine learning procedures and structural risk minimization techniques
6+ years of experience working in a digital marketing analytics function with departmental responsibilities

Lead Data Scientist Resume Examples & Samples

Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand a) how our audiences interact with our content and services b) how does our content and services relate to each other c) new services opportunities from data and insight
Partner with Editorial, R&D, Marketing & Audiences teams to solve problems and identify trends and opportunities coming from data and automation
Partners with the data engineers in continuous improvement processes impacting data quality in the context of the specific use case
Solid knowledge of statistical techniques
Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like Python or R)
Strong experience using machine learning algorithms
High proficiency in the use of statistical packages

CSA Lead Data Scientist Resume Examples & Samples

Performing applied research and development in one or more of the following key areas of interest
Computer network operations (CNO)
Computer network defense (CND)
Software reverse engineering & exploitation
Penetration testing
Host and network-based forensics analysis
Security and privacy research for mobile devices (Android, iPhone)
Program analysis (including vulnerability detection and/or remediation)
Virtualization platform development
Formal methods
Wired and wireless networks, primarily at the MAC layer and above
Supporting large projects and programs in Enterprise organizations
Some data storage experience with databases (commercial or free databases - Oracle, MySQL, SQlite3, Postgress) or with some new data storage systems (e.g., Hadoop)
MS Project
Experience with IT / Big Data projects
Wireless networking (WiFi, cellphone, etc.)
English (mandatory, fluent both verbally as well as written),
German (nice to have)
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
Ethical, trustworthy and of good values
A problem solver able to clearly articulate complexity and approach
An excellent communicator – with written and verbal skills – including formal presentation skills
Interpersonally savvy when interacting with internal employees and external customers
Composed of planning, organization, and implementation skills
Detail orientated and quality focused
Demonstrable experience in governing or supporting projects to successful conclusions
Experienced in effectively communicating with and positively influencing project stakeholders and team members
Bachelor degree in Mathematics, Economics, Computer Science, Information Management or Statistics

100

Senior Lead Data Scientist Resume Examples & Samples

Bachelor’s Degree in Math, Computer Science, Data Mining, Machine Learning, Statistics or other quantitative discipline
12 + year; 8 + year with a Master’s Degree
Experience building and managing a team
Fluent in one or more object oriented languages like C#, C++, Scala, Java, and scripting languages like Python or Ruby
Machine Learning (Neural Networks, Random Forests, Support Vector Machines, etc.)
Statistical analysis software (Python, R, Spark MLlib, PySpark, SparkR, SAP Predictive Analytics, MATLAB, SAS, SPSS, etc.)
SQL Programming experience in a relational database environment (Oracle, MS SQL Server, Teradata environment); Knowledge about in-memory architectures (SAP HANA, MemSQL, Gigaspaces)
Data Science visualization tools (R Shiny, Tableau, Qlikview, SAP Lumira, etc.) as well as traditional Reporting/BI tools (Business Objects, MicroStrategy, Cognos, etc.)
Relational (SQL) and non-relational databases (Hadoop, Cassandra, etc

101

Senior Lead Data Scientist / Engineer Resume Examples & Samples

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Solid understanding of machine learning, statistics, and computer science fundamentals such as algorithms and data structures
3 / 5+ years of experience working as a data scientist
Able to work effectively within and across teams
Must be able to write solid code in python or java or in a similar language
Good understanding of SQL language and be able to write programs to extract data from databases or other sources such as Hadoop/Hbase
Comfortable working with Hadoop and related tools such as hbase, hive, spark platform etc
Knowledge of R, MatLab and other tools commonly used in machine learning
Comfortable programming in scala programming language
Familiarity with tools for machine learning in python, java, or scala such as Scikit-Learn, stanford NLP, spark MLLib
Publications in reputed machine learning, data mining or related conferences
Ph.D. degree in Computer Science, Mathematics or Statistics preferably specializing in the area of machine learning or related topics

102

Lead Data Scientist Resume Examples & Samples

Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.)
Work closely with business partners to understand the requirements where data driven solutions are applicable
Applications in data mining, machine learning, natural language processing, or information retrieval to resolve business needs and creating new opportunities
Present analytical information in front of large group of business users
Capable of investigating, familiarizing and mastering new datasets quickly
Identify opportunities to access additional data
Stay current with leading edge systems, methods, and best practices for big data/data science analytics and data infrastructure
BS/BA in Computer Science and Engineering, Mathematics, Statistics or equivalent experience utilizing a different degree
MS or progress towards MS in Computer Science and Engineering including Machine Learning, Advanced Mathematics, Applied Statistics is preferred but not required
A minimum of 2 years of statistical modeling and programming experience
Combination of technical/quantitative and business acumen are strongly preferred
Expertise in Python for data analysis is a must, other shell scripting languages such as R or Scala are recommended
Expertise in SQL (Oracle, Postgres, etc.)
Expertise in data visualizations, using methods like Matplotlib, ggplot2, or Tableau
Experience with Apache Spark, Hadoop, Hive, and other Big Data technologies
Experience with AWS (EMR, S3, Lambda, DynamoDB, Athena, etc.) or other similar cloud services
Experience working with version control tool
Strong communication, organizational and multitasking skills with ability to balance competing priorities
Knowledge of Commodity and Financial Derivatives Markets, especially in futures and options trading, are recommended

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