Analytics Data Scientist Resume Sample

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Javon Green
69060 Hilll Streets,  San Francisco, CA
+1 (555) 417 7808

Work Experience

Advisory Manager Cybersecurity Analytics Data Scientist
06/2015 - PRESENT
San Francisco, CA
  • Assists in the conceptualization of analytical projects to ensure research is rigorous and results provide actionable and comprehensive insights
  • Develops statistical models across a broad spectrum of topics, including predictive models
  • Keeps up-to-date and introduces latest trends from technology and other disciplines (e.g., natural language processing, machine learning,
  • Locates and extract data from new data sources, finds new uses for existing data sources, structures and drives new data collection efforts, and provides recommendations on scaling new methods more broadly
  • Integrates multiple systems and data sets to build large and complex data sets and make them usable (e.g., transforming and cleaning data, working incomplete data sources, implementing and validating quality procedures)
  • Conducts scalable data research and off and ultimately on the cloud
  • Implements automated processes for efficiently producing scale models
  • Liaises and collaborates with other COEs, Business Advisor organizations and Core Talent Services on the whole analytics lifecycle (conceptualization, data collection, analysis, and recommendations) or when subject matter expertise is required
Analytics Data Scientist
08/2010 - 02/2015
Chicago, IL
  • Fully understands the requirements of our client and working with data on multiple platforms (z/OS, Windows, AIX, and big data (e.g. parallel/MapReduce algorithms, etc.)
  • Play a senior role in professional work engagements and demonstrating proficiency in predictive analytics and data mining either through references or a portfolio of work
  • Work with all levels of business users to understand their business requirements and translate those business needs into analytical models
  • Know the appropriate and most effective analytical models to use in different situations
  • Work with subject matter experts, data governance coordinators, data stewards and data engineers to understand and prepare internal and external data for analytics
  • Develop and plan required analytic pilots in response to business needs
  • Create statistical models in support of pilots, hypothesis, and trends
  • Conduct research and make recommendations on analytics products, services, protocols, and standards in support of procurement and development efforts
  • Propose new analytics solutions in response to business needs
Internship Marketing Analytics & Data Scientist
12/2006 - 04/2010
Los Angeles, CA
  • Develops and maintains accurate and up-to-date project plans and status reports for all incoming and active projects
  • Accountable to lead analytics modeling projects and initiatives, engaging with key executives, and driving the overall consumption and reliance on analytics insights derived
  • Lead a virtual team of analytics professionals across multiple geographies to deliver projects to leaders across EY (Talent, Service Line, Markets etc)
  • Lead the development of new innovative ideas for the application of advanced analytical techniques to EY data and business problems
  • Provides consultative and analytic support in the implementation of workforce measurement initiatives
  • Work collaboratively with clients including Service Line Leaders and Global Talent Leaders to understand Talent analytics requirements, to understand the problem at hand, defines / executes the analytics approach, and communicates the insights and recommendations
  • Support global, service line and regional business with workforce analytics support


Colgate University
2001 - 2005
Science's Degree in Computer Science

Professional Skills

  • Strong analytical and problem-solving, written, and oral presentation skills
  • Strong oral and written communication skills, as well as the ability to interface internally and externally with all levels of management
  • Programming skills in the Hadoop environment (Map/Reduce, Pig, Hive, HBase, Mahout, Scripting)
  • Five or more years of experience in vehicle development or validation of safety related systems or components
  • Programming experience ideally in Python, Java, or R
  • Advanced experience with innovative algorithms and visualizations using modern analytical techniques in Data Mining, Machine Learning and Statistics
  • Experience in applying analytics best practices to human capital problems and hypotheses

How to write Analytics Data Scientist Resume

Analytics Data Scientist role is responsible for programming, retail, mainframe, database, architecture, design, research, digital, modeling, travel.
To write great resume for analytics data scientist job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Analytics Data Scientist Resume

The section contact information is important in your analytics data scientist resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Analytics Data Scientist Resume

The section work experience is an essential part of your analytics data scientist resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous analytics data scientist responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular analytics data scientist position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Analytics Data Scientist resume experience can include:

  • Good technical skills and understanding of systems, with proven ability to learn new technologies.
  • Advanced Analytics and Data Mining experience
  • Demonstrated on-going learning to keep up with technological advances
  • Experience with text mining of patient records, including Electronic Health Records
  • Experience with visualization of text mining and other analytical results
  • A/B Multivariate testing experience (ex: Adobe Target, Optimizely)

Education on an Analytics Data Scientist Resume

Make sure to make education a priority on your analytics data scientist resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your analytics data scientist experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Analytics Data Scientist Resume

When listing skills on your analytics data scientist resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical analytics data scientist skills:

  • Experience and exposure to cross HR centers of excellence measurement including: employee listening surveys, recruiting, learning & development, diversity & inclusion
  • Effective team player and contributor with solid communication skills in interfacing with both team members and management
  • Initiate and drive analytic projects from inception to delivery, and productionize and automate the process with excellent programming skills
  • Experience in identifying, gathering and analyzing complex multi-dimensional datasets utilizing a variety of tools
  • Experience in working with text extraction and pre–processing
  • Experience in working with R and Python or another text mining platform

List of Typical Experience For an Analytics Data Scientist Resume


Experience For Provider Analytics Data Scientist Resume

  • Manage safety cases, including pulling data and research, until handed off to subsequent stakeholders
  • Present analytics findings to senior management to enable decision making
  • Work with IT departments to operationalize interesting and useful analysis
  • Telecom Networks domain understanding with focus on MBB and Data services
  • Identify and exploit data assets, creating new patterns/business value
  • Analyze data, developing robust statistical and predictive algorithms/models that drive the product outputs

Experience For Training Analytics Data Scientist Resume

  • Develop analysis quickly to showcase value and test hypotheses
  • Learn and understand Thomson Reuters’ business strategy – our customers, products, competition and market position
  • Work with Intuitive Surgical’s Account Optimization team (Genesis) to identify account performance metrics and areas of optimization
  • Apply advanced statistical and predictive modeling techniques to measure customer training effectiveness, and link training effectiveness to post-training customer adoption of Intuitive Surgical’s technology
  • Collect and clean raw data to create analytical data sets
  • Apply data validation methods that include deduplication, invalid formats, invalid values, miscoded data, outliers, missing values, distribution issues, granularity issues, scale issues and bias issues

Experience For Global Fraud Systems & Analytics Data Scientist Resume

  • Apply the appropriate compute technique such as machine learning and predictive analysis
  • Apply the appropriate modeling technique such as regression analysis, logistical regression, decision trees, boosted trees, topic models, clustering, filtering and nearest neighbor
  • Provides expert support to run analysis and analytical experiments in a methodical manner, using both structured and unstructured data
  • Build predictive models, developing advanced algorithms that extract and classify information from large datasets
  • Evaluate alternate models via theoretical approaches
  • Identify meaningful patterns and trends and translate results into understandable and actionable output that answer real business questions
  • Consumer Behavior Analytics

List of Typical Skills For an Analytics Data Scientist Resume


Skills For Provider Analytics Data Scientist Resume

  • Experience in analytics with client facing, consultative and communication skills
  • Experience in determining mathematical or other approaches to solve problems develop sampling plans and gather/analyze/portray data
  • Experience performing data analysis in database using SQL
  • Experience working in a large corporation within a matrix org structure
  • Experience in Computer Science, Data Science, Mathematics, Statistics, Engineering, or related disciplines
  • Experience using SAS, SPSS or R

Skills For Training Analytics Data Scientist Resume

  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets
  • Strong collaborator, commitment to teamwork
  • Experience design experiments, extracting, manipulating and analyzing data, drawing conclusions and making recommendations
  • Experience in Predictive Analytics in asset intensive industries
  • Experience in identifying, gathering and analyzing complex multi-dimensional datasets utilizing a variety of tools
  • Experience in determining mathematical or other approaches to solve problems develop sampling plans and gather/analyze/portray data
  • Experience performing data analysis in database using SQL
  • Experience using SAS, SPSS or R

Skills For Global Fraud Systems & Analytics Data Scientist Resume

  • Experience using SAS, SPSS or R
  • Basic knowledge in , or experience with, big data techniques
  • Engineering or science discipline such as Computer Science, Physics, Chemistry, Statistics, Mathematics, Electrical Engineering, Mechanical Engineering, etc
  • Costing and Long Term Planning tools
  • Extending company's data with third party sources of information when needed
  • Consulting and analytics background
  • Apply predictive modeling in a variety of applications, including forecasting, risk modeling and scoring, process optimization, and decision support

Skills For Advanced Analytics Data Scientist Resume

  • Data mining, statistical analysis, pattern recognition, text analytics, natural language processing, machine learning, predictive modeling and optimization
  • Data Mining / Text Mining / Machine Learning
  • Derive meaning from text, including semantics, syntax, sentiment, concept identification, and relationship extraction
  • Comfortability retrieving and integrating data sources from various digital channels
  • Work with Intuitive Surgical’s Medical Research team to investigate advances in training methodology and scoring via analytics
  • Successfully lead in a virtual team environment, working remotely with limited supervision
  • Commitment to developing consultative client relationships

Skills For Pricing Analytics Data Scientist Resume

  • Interest in developing knowledge of financial services industry
  • Story telling based on data & facts
  • Analytical and reasoning capabilities
  • Knowledge in cloud and engineering platform solutions such as AWS
  • Able to travel ~15-20%, including international
  • Operations Research (including simulation and optimization)
  • Other data retrieval familiarity (ex: AMO, RocketFuel, Social Mediums, Siebel/CRM, DemandBase, CrowdTwist, IBM Marketing Cloud, Cognos)

Skills For Advisory Manager Cybersecurity Analytics Data Scientist Resume

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
  • Develop company A/B testing framework and test model quality
  • The ability to deal with and manage ambiguity and incomplete information
  • Conceptual thinker with ability to discover patterns in large and seemingly unconnected data sets
  • Activity drivers & volume analysis
  • Project management/Development of new requests
  • A desire to learn new statistical analysis methods

Skills For Safety Analytics Data Scientist Resume

  • Translate business objectives into actionable analyses and execute on them independently
  • Present data in a logical, concise manner, as well as communicate the results of analyses clearly to both technical and non-technical audiences
  • Engage broadly with the business to frame, structure and prioritize business problems where analytic projects or tools can have the biggest impact on Nordstrom’s business
  • Fluency with advanced statistical and machine learning techniques such as decision trees, neural networks, dimension reduction, resampling methods, generalized linear models, survival analysis, Bayesian analysis
  • Clearly communicate program status, issues, risks, plans, etc. to leadership
  • Software development experience with scripting languages and software platforms related to Advanced Statistics, Data Mining, Machine Learning and Visualization (ex. SQL, SAS, JMP, R, python, Tableau)
  • Develop high levels of credibility and forge solid, positive, professional team relationships with peers and upper management
  • Experience with GitHub, UNIX, or Bash

Skills For Expert Analytics Data Scientist Resume

  • Experience with research design or survey analysis
  • Creative, open minded, and relentless pursuit of breakthrough solutions while also taking pride to see colleague's work cited
  • Work with SQL and database operations
  • Econometrics / Time Series Analysis
  • Computer Science / Mathematics
  • Tag Management (ex: QA, strategy, tools: DTM, Tealium)
  • B2B and life science background
  • PHD candidates with 4-8 years of experience in the field of advanced quantitative techniques, data sciences and large scale machine learning while working for leading global academic institutes or corporate innovation research labs or analytics organizations of large corporates or in consulting companies in analytics roles

Skills For Enterprise Analytics Data Scientist Resume

  • Proficiency in data mining techniques, Feature engineering, regression, classification, clustering, time series analysis etc
  • Proficiency in Machine Learning techniques like Random Forest, GBM, SVM, CNN, Deep learning, text analytics/NLP, etc
  • Experience in deploying real world solutions in Hive, Spark and other Hadoop Technologies. Excellent knowledge of data mining/predictive modeling tools such as Python, R, Spark, Tensorflow, etc
  • Data driven complexity reduction (including product and service complexity)
  • Knowledge in SPSS, Python, R or SAS
  • Data driven operational process assessments and recommendations

Skills For Business Analytics & Data Scientist Resume

  • Data and technology related innovation projects
  • Architecture and applications on or incorporating innovative data analytic technologies such as Hadoop, Spark, R, Python and other open source and proprietary data analytics platforms and tools
  • Architecture and applications on or incorporating mainframe or distributed platforms (Windows, AIX)
  • Experience in core business system transformation programs, with a focus on related changes in data analytics architecture, engineering, and business capabilities
  • Develop custom data models and algorithms to apply to data sets
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

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