Data Scientist, Analytics Resume Samples

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K Blick

Karina

Blick

6464 Titus Loop

New York

+1 (555) 334 2620

6464 Titus Loop

New York

Phone

p +1 (555) 334 2620

Experience Experience

New York, NY

Data Scientist Analytics

New York, NY

Schaefer LLC

New York, NY

Data Scientist Analytics

Work alongside ETL engineers to establish an analytics platform to be used across the business
Work alongside engineers to establish an analytics platform to be used across the business
Creating automated anomaly detection systems and constant tracking of its performance
Selecting features, building and optimizing classifiers using machine learning techniques
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Doing ad-hoc analysis and presenting results in a clear manner
Enhancing data collection procedures to include information that is relevant for building analytic systems

Los Angeles, CA

Data Scientist, Analytics

Los Angeles, CA

Schmidt Inc

Los Angeles, CA

Data Scientist, Analytics

Building and analyzing dashboards and reports
Spreading best practices to analytics and product teams
Evaluating and defining metrics
Communicating of state of business, experiment results, etc to product teams
Building models of user behaviors for analysis or to power production systems
Authoring pipelines via SQL and python based ETL framework
Building key data sets to empower operational and exploratory analysis

present

Detroit, MI

Data Scientist, Analytics Office

Detroit, MI

Terry Group

present

Detroit, MI

Data Scientist, Analytics Office

present

Build and develop trust-based relationships with operator customer’s middle and senior management in relation to product attached consulting engagements
Develop tools and templates to assist in operationalizing analytics insights
Provide opportunity leads to sales in order to maximize business value of Nokia solutions to the customer
Applying advance analytics and data science methods to generate business insights, predict customer satisfaction and other business performance indices
Support product attached consulting deliveries by carrying out data analytics and data science driven tasks on Nokia and operator data sources
Design advanced analytics models including predictive modeling and machine learning to answer the business and operational question at hand
Use fact based problem solving methods

Education Education

Bachelor’s Degree in Computer Science

Indiana University

Bachelor’s Degree in Computer Science

Skills Skills

Experience with common data science toolkits and modeling tools (such as R, Python, Knime, MatLab. Excellence in at least one of these is highly desirable)
Curious, proactive, fast learner able to quickly picking up new areas
Capable to develop and proficiently query SQL and non-SQL databases
Team worker in multidisciplinary and international settings, able to adapt quickly
The candidate should have strong knowledge of database concepts and SQL
Strong work ethic and personal integrity; self-directed and self-motivated with a highly developed curiosity and willingness to learn and to teach
Good data modelling intuition
Good applied statistics skills (such as distributions, statistical testing, regression, etc)
Being able to work autonomously
Good understanding of data manipulation/wrangling techniques

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Data Scientist, Analytics Resume Examples & Samples

Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Data Infrastructure Working in hadoop and hive primarily, sometimes mysql, oracle, and vertica
Authoring pipelines via SQL and python based ETL framework
Automating analyses
Product Operations Setting goals
Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
Building and analyzing dashboards and reports
Exploratory Analysis Proposing what to build in the next roadmap
Understanding ecosystems, user behaviors, and long-term trends
Identifying levers to help move key metrics
Evaluating and defining metrics
Building models of user behaviors for analysis or to power production systems
Product Leadership Influencing product teams through presentation of work
Communicating of state of business, experiment results, etc to product teams
Spreading best practices to analytics and product teams

Data Scientist, Analytics & Insights Resume Examples & Samples

Strong written and oral communication skills; ability to be the “voice of the data” and convey complex analytical results clearly and with conviction to decision makers and other stakeholders
Explore VMN’s audience to identify new insights that will translate the value of the VMN Brands using available first/third party data sources across digital, linear and social platforms
Be the evangelist of emerging trends in audience measurement
Having experience in sophisticated quant models to measure the impact of viewing across various platforms
Analyze new data sources to derive insights across suite of VMN brands
A bachelor’s or Masters in a quantitative discipline
3+ years of media research or data analytics experience
Advanced knowledge of R, SAS and SQL
Exceptional analytics and quantitative expertise with understanding of marketing mix models and predictive analytics
Experience in measurement across multiple channels, and various data sources
A programming background and ability to prototype tools using languages like Javascript and Python
Strong background in advanced data visualization using d3, javascript, python based interactive visualization, R-Shiny, Google Charts
Programming experience working in cloud environment
Passion for Big Data
Track record of delivery strong business results

Data Scientist, Analytics Resume Examples & Samples

Data Infrastructure
BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees preferred
Fluency in SQL or other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)

Cyber Security Data Scientist / Analytics Resume Examples & Samples

Strong skills in statistics, probability, Bayesian approach, and machine learning, experimental design methods, and real-time optimization techniques. In-depth knowledge on statistical modeling and predictive analytics
Able to deal with imperfect data – make recommendations with available information
Strong communication, data visualization and presentation skills to deliver findings of analysis and to explain complex statistical concepts to a non-technical audience
Good team work skills and ability to work in a distributed global team environment
Self-motivated, proactive and with determination to achieve goals
Flexible and able to deliver quality results in the required timeframe
Familiar and experienced in the software development lifecycle process
Stay current with the Threat and Technology Landscape

GBS Entry Level Data Scientist Analytics Co-op Resume Examples & Samples

Demonstrated achievement in Economics, Math, Statistics, Computer Science, MIS, Data Analysis and/or other Analytics related fields
Strong leadership and adaptability, with willingness to readily and voluntarily take ownership of highly challenging tasks and problems, even beyond initial scope of responsibility
Thorough and analytical, with capability to apply logic to solve problems
Ability to handle multiple tasks concurrently and meet deadlines, while maintaining focus despite conflicting demands
Drive to overcome the most challenging or difficult obstacles and look for ways to improve results
Initiative to actively seek new knowledge and improve skills
Effective interpersonal skills with ability to collaborate and work effectively with individuals strengthening relationships to achieve win-win solutions
Powerful communication skills, successfully using multiple verbal and non-verbal behaviors to deliver a compelling and engaging response
A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view

Data Scientist, Analytics Resume Examples & Samples

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products products
Product Operations
Experience in SQL or other programming languages
Development experience in at least one scripting language (PHP, Python, Perl, etc.)
Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams
Influence the overall strategy of the product
Basic understanding of of statistics (e.g., hypothesis testing, regressions)
Experience with distributed computing (Hive/Hadoop) a plus

Data Scientist Analytics Resume Examples & Samples

Strong knowledge of statistical and machine learning techniques such as regression analysis, clustering, decision trees, ensemble methods, collaborative filtering, etc
Develop POCs with a quick turnaround to meet the needs of business stakeholders
Work alongside engineers to establish an analytics platform to be used across the business
Ability to transform data and prototype quickly to conduct statistical analysis using tools like R and Python
Proficiency with Unix/Linux environments
Experience with NoSQL systems desired
Experience with Spark desired

Data Scientist, Analytics, Intern Resume Examples & Samples

Mine massive amounts and perform large-scale data analysis to extract useful business insights
Work closely with a Product Manager and Engineering team to proactively create rule and manage decisions
Backend software engineering to build scalable solutions and help automate data processing challenges
Suggest improvements in the tools and techniques to help scale the team
Pursuing a BS, MS or PhD degree in Computer Science, Applied Mathematics, Statistics, Operations Research, or related technical field from an academic institution
Experience with SQL or other programming languages (Python, Java, and/or C++)
Development experience in at least one scripting language (PHP, Perl, Python, etc.)
Experience with statistical analysis, experience with packages such as R, MATLAB, Excel, etc. preferred

Data Scientist, Analytics, University Grad Resume Examples & Samples

BS, MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field)
3+ years of experience in solving analytical problems using quantitative approaches (or equivalent)
Programmer - Python, Perl, Java, and/or C++
Experience in presenting qualitative and quantitative data
Ability to obtain work authorization in the United States in 2017

Data Scientist, Analytics Resume Examples & Samples

Manage data warehouse plans for a product or a group of products
Interface with engineers, product managers and product analysts to understand data needs
Build data expertise and own data quality for allocated areas of ownership
Design, build and launch new data models in production
Design, build and launch new data extraction, transformation and loading processes in production
Support existing processes running in production
Define and manage SLA for all data sets in allocated areas of ownership
Work with data infrastructure to triage infra issues and drive to resolution
BS/BA in Technical Field, Computer Science or Mathematics
2+ years experience in the data warehouse space
2+ years experience in custom ETL design, implementation and maintenance
2+ years experience working with either a Map Reduce or an MPP system
2+ years experience with programming languages (e.g. Python or Java preferred)
2+ years experience with schema design and data modeling
2+ years experience in writing SQL statements
Experience to analyze data to identify deliverables, gaps and inconsistencies
Experience in managing data warehouse plans to internal clients

Data Scientist, Analytics Resume Examples & Samples

4+ years’ experience doing quantitative analysis
Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc
Experience with an Internet-based company
Experience with data sets and distributed computing (Hive/Hadoop)

Data Scientist, Analytics Resume Examples & Samples

Ability to communicate the results of analyses with product and leadership teams
Understanding of statistics (e.g., hypothesis testing, regressions)
Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
Experience with distributed computing (Hive/Hadoop)

Data Scientist, Analytics Resume Examples & Samples

5+ years of experience doing quantitative analysis
BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field. Advanced degrees
Ability to communicate the results of analyses

Data Scientist Analytics Resume Examples & Samples

Collaborate with Project Managers and business stakeholders to execute Analytics projects. This includes outlining specific deliverables, provide imput to project plans and milestones
Leverage data management processes and available infrastructure / Relation data soruces/API tools to develop POC capabilities/solutions
Work alongside ETL engineers to establish an analytics platform to be used across the business
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary
At least 3 years of professional experience as a Data Scientist
Detailed knowledge on a range of analytical techniques (e.g. Supervised and Un-supervised machine learning techniques, graph data based analytics, statistical analysis, time series, geospatial, nlp, sentiment analysis, pattern detection to name a few)
Experience with command-line scripting, data structures and algorithms and ability to work in a Linux/Windows environment, processing large amounts of data in an on-premise and/or cloud environment
Good data modelling intuition
Excellent verbal and written communication skills as well as interpersonal and influencing skills; ability to define and capture business needs along with articulating strategic implications of analytic results with clarity and persuasiveness in an audience appropriate manner
Experience with h2o is preferred
Experience with Alteryx is preferred
Experience with Tableau or other data visualization tools is desired
Familiarity with IBM DB2 and SQL Server (SSRS, SSIS, SSAS) databases

Data Scientist, Analytics Resume Examples & Samples

Work closely with Product or Engineering & Operations teams to proactively create rule and manage decisions
BS, MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, or related field) with a 2017 graduation date
Experience with relational database (SQL, PL*SQL) is a plus
Experience in problem solving
Experience utilizing both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)
Experience in collaborating with individuals and organizations
Facebook user

Data Scientist Analytics Resume Examples & Samples

Understand the business needs and challenges
Extending company’s data with third party sources of information when needed
Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing
Being able to create examples, prototypes, demonstrations to help management better understand the scope of work and the implications of the work on the organization
Capable to develop and proficiently query SQL and non-SQL databases
Good applied statistics skills (such as distributions, statistical testing, regression, etc)
Good communication and interpersonal skills, with the ability to build strong personal relationships at all levels, both internal and external to Philips; with customers, obtain their user needs and be able to transform those into practical solutions
Being able to work autonomously
Team worker in multidisciplinary and international settings, able to adapt quickly
Curious, proactive, fast learner able to quickly picking up new areas
Vocational English in writing and speaking

Data Scientist / Analytics Resume Examples & Samples

Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
Build and prototype analysis pipelines iteratively to provide insights at scale
Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both products development and sales activity
Interact cross-functionally with a wide variety of people and teams
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
Research and develop analysis, forecasting, and optimization methods to improve

Data Scientist, Analytics Office Resume Examples & Samples

Support product attached consulting deliveries by carrying out data analytics and data science driven tasks on Nokia and operator data sources
Tasks include all aspects of Data Science work from data cleanup to developing predictive models, as well as deploying the models to produce valuable insights and articulating that to the customer
Build and develop trust-based relationships with operator customer’s middle and senior management in relation to product attached consulting engagements
Understand customer’s commercial and operational challenges and apply these understanding when developing models and insights
Provide opportunity leads to sales in order to maximize business value of Nokia solutions to the customer
Strong telecom background which includes sound understanding of IP Data Networks and protocols and good understanding of CDMA, UMTS, LTE Wireless Data Network architecture
Strong data analytics and data science experience, developing models using various data mining and machine learning algorithms. Application of such data science work in telecom a plus
Strong data manipulation skills using SQL
Good understanding of various big data concepts. Working knowledge of Hadoop based environments a plus
Strong experience with data mining / machine learning platforms and tools like R, Python, RapidMinder, etc
Strong experience with data visualization tools like Excel, Tableau, Business Objects, etc
Strong verbal, written and visual articulation skills using PowerPoint to effectively communicate complex ideas
Ability to work with both technical and management layers in customers
Familiarity with end customer surveys, such as satisfaction surveys, Net Promoter Score experience a plus
Strong academic record with a minimum of Masters in computer science or mathematics from a reputable institution, additional business studies is a plus
Doctoral degree or an MBA degree preferred

Data Scientist & Analytics Manager Resume Examples & Samples

Data Science & Analytics: Hands-on experience in developing and delivering data science, advanced analytics, or machine learning applications in an industry setting. Demonstrate technical competency in programming, statistics, operational analytics, and user experience
Partnerships: Develop relationships with customers, stakeholders, peers, partners, and direct reports. Maintain internal and external relationships, including evaluating inbound opportunities and proactively nurturing analytics partnerships across the enterprise
People Management: Manage and provide developmental opportunities for direct reports. Drive productivity, quality, and employee engagement
Strategy & Operations: Provide oversight and approval of analytics approaches, products, and processes. Provide input to business and technical strategy, goals, and objectives. Acquire resources for department activities, provide technical management and evaluation of suppliers, and lead process improvements. Prioritize, influence, and communicate portfolio objectives and business impact. Quantify business value derived from analytics projects and initiatives
In addition, the ideal candidate must be proactive and able to manage in a fast-paced dynamic environment. The candidate will have experience working with diverse groups, aligning deliverables, and driving execution; driving strategy across business units and functions; solving complex problems and delivering complex solutions in large environments. Preferred attributes include exceptional presentation building and communication skills, a strong background in building relationships and working cross-functionally, and deep personal experience in performing and leading teams to perform analytics statements of work, defining process, evaluating tools, and engaging vendors in the Data Science & Analytics field. Resourcefulness, curiosity, and passion are required traits
Analysis Algorithms, Analytics Skills, Data Analysis, Data Mining, Visualization Technologies, System Integration/Design, Software Development
Technical bachelor's degree and typically 13 or more years' related work experience or a Master's degree with typically 12 or more years' or a PhD degree with typically 9 or more years' related work experience or an equivalent combination of education and experience. A technical degree is defined as any four year degree, or greater, in a mathematic, scientific, or information technology field of study

Data Scientist / Analytics Intern Resume Examples & Samples

You will help to develop machine learning models and analytics tools using real business data
Integrate internal data with external data sources and APIs to discover actionable insights
Design and craft rich data visualizations to extract insights and communicate stories to customers and company leadership

Senior Data Scientist Analytics Resume Examples & Samples

Collaborate with Project Managers and business stakeholders to execute Analytics projects. This includes outlining specific deliverables, provide input to project plans and milestones
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Leverage data management processes and available infrastructure / Relation data sources/API tools to develop POC capabilities/solutions
Use good software engineering practices (appreciate the importance of good coding practices to DS, unit testing, version control using git, code review)
Ability to conduct large scale projects and research through all stages: concept formulation, definition of metrics, determination of appropriate statistical methodology, research evaluation, and final research report
Mentor other team members as needed
Demonstrate a commitment to Hyatt core values
Good understanding of data manipulation/wrangling techniques
Automate the model building process
Good data modeling intuition
Proven ability to influence and work with cross-functional teams. Significant skill required to work effectively across internal functional areas in situations where clear parameters may not exist
Strong work ethic and personal integrity; self-directed and self-motivated with a highly developed curiosity and willingness to learn and to teach
Three or more years programming in R and/or Python
The candidate should have strong knowledge of database concepts and SQL
Experience with Spark is desired
Expert in Microsoft Office suite, especially Word, Excel and Powerpoint
Familiarity with data warehousing concepts
Expert in Microsoft Office 2010 suite, especially Word, Excel and Powerpoint
Familiarity with IBM SPSS and SAS tools for data exploration and mining is a plus

Data Scientist Analytics Senior Specialist Resume Examples & Samples

Develop and maintain the ADM documentation site for the “Ecosystem and Ventures Analytics” team
Develop and maintain analytic warehouse/database
Excellent oral and written communications skills in English language
Team building, coaching and training delivery
Problem solving and root cause analysis
Confidence and poise in interactions with senior executives
Highly proficient in Microsoft applications (Word, PowerPoint, Excel, IE, Outlook)
Understanding of basic finance concepts for a services company
Knowledge on a database language (SQL, Transact SQL, etc)
Knowledge on a statistical programming language (preferably R)
Knowledge on data visualization tools/frameworks (i.e: Tableau, D3.js) is a plus

Data Scientist, Analytics Specialist Senior Resume Examples & Samples

Advanced degree (MA/PhD) in quantitative discipline: Statistics, Applied Mathematics, Operations Research, Comp. Science, Engineering, etc
4 years experience with large amounts of real data
Minimum of 2 years experience leading project teams on relevant engagements
Experience in Hadoop, Spark, Storm or related paradigms and associated languages such as Pig, Hive, Mahout, plus advanced skills in Java/C++, R, Python, etc
Ability to communicate complex quantitative analysis in a concise and actionable manner
Extensive knowledge of tools for data mining and statistics (SAS, SPSS, MATLAB)
Ability to work independently and manage multiple task assignments
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
Willingness to travel at least 50%
Strong competency in various machine learning techniques (supervised learning, unsupervised learning, reinforcement learning). Strong knowledge of other quantitative disciplines (operations research, decision theory, etc.) preferred. Knowledge of machine to machine learning techniques
Solid understanding of advanced analytics (statistics, simulation, optimization, etc)
Strong work ethic and desire to help clients improve their businesses
Ability to maintain a flexible work schedule including overtime

Data Scientist, Analytics Resume Examples & Samples

Ability to communicate the results of analyses in an effective manner
Understanding of statistical analysis
Advanced degrees

Data Scientist / Analytics Architect Resume Examples & Samples

7+ years’ experience across analytics, digital marketing/advertising, business intelligence, IT, and/or
Data research and analysis
3+ years’ experience managing advanced analytics and modeling teams
Direct marketing research experience including: Media Mix Modeling, Multi-Channel Media Optimization, Media Attribution Modeling, Social Media ROI, Behavioral Choice Modeling, CRM, Segmentation, Forecasting & Planning
Proven experience designing innovative analytics techniques
Experience creating, developing and evolving an emerging data science practice is a plus
Analytics practice experience including: Business Development, Product Development, Client Management,Vendor collaboration, Public Speaking / Presentation experience
7+ years working / programming in SAS environments
Experience with digital and traditional media planning, buying and optimization
Experience with big data systems (e.g. Cloudera Hadoop)
Experience with data visualization software (e.g. Tableau)
Must have at least 5 years’ relevant, professional work experience in an agency or equivalent environment
Must have at least 5 years’ years of experience providing relevant marketing analysis experience in an automotive environment
Must have at least 5 years’ experience automating routine Excel tasks using macros and/or VBA
Must have at least 5 years’ experience creating rich data visualizations, dashboards and executive reports
Must have at least 5 years’ experience with web site analysis, specifically tools from Omniture, Webtrends, Coremetrics and/or Google Analytics
Must have at least 5 years’ experience implementing instrumentation strategies for websites and campaign tagging
Must have at least 3 years’ experience measuring social media channels
Bachelor’s degree from a four-year college or university in Advertising, Mathematics, Statistics, Economics or other quantitative discipline

Senior Data Scientist Analytics Resume Examples & Samples

Develops, implements and evaluates documentation formats, validation tests, data collection methods, databases and other data recording measures
Applies standard, descriptive and inferential analysis methods as appropriate to interpret and report on collected data
Implements data management procedures compliant with regulatory requirements. Ensures the consistent implementation of data collection procedures by staff
Collaborates on the purchase, testing and implementation of data management/analysis applications and systems. May develop customized data management tools. Trains staff on implemented tools and applications
Obtains Data – Utilizes SQL to mine appropriate data elements from the various clinical database systems. Interacts with web APIs to fetch data from externally published sources. Utilizes web scraping and mining tools to extract data from non-traditional Internet sources. Extracts data algorithmically from PDFs, formatted Excel workbooks, and other common document formats that are not traditionally machine-readable
Cleans, transforms, and transmits data – Parses, validates, and scrubs data of widely-differing formats
8-10 years’ experience in medical economics, outcomes, and or business analysis preferred
Three years’ experience in quality reporting, database ETL operations, statistical computer programming, and/or functional/object-oriented computer programming desired