Data Science Analyst Resume Sample

18 votes
Resume Create

The Resume Builder

Create a Resume in Minutes with Professional Resume Templates

Edwardo Wintheiser
1646 Gibson Extensions,  Philadelphia,  PA
+1 (555) 256 1219

Work Experience

Senior Data Science Analyst
07/2016 - PRESENT
New York, NY
  • Retrieves data using SQL within the Netezza framework and quality-checks those data prior to analysis
  • Identifies data types (transactional, text, clickstream, etc.) and volume of data
  • Preps incoming data for use by Data Scientists
  • Optimizes code to make ongoing data retrieval as quick as possible
  • Modifies basic R, SAS, or Python code, developed by Data Scientists, for broader application within the team
  • Interprets model output produced by Data Scientists and helps to communicate findings and applications to the organization
  • Validates findings by comparing to existing body of research
Data Science Analyst
09/2011 - 06/2016
Detroit, MI
  • Experience with OSD or Joint Staff analysis or similar strategic-level corporate or governmental analysis expertise
  • Experience with statistics, mathematics, data engineering, machine learning, or visualization
  • Focus on forecasting market trends to drive sourcing activities and mitigate pricing and supply risk
  • Development of robust analytic capabilities to ensure best-in-class bottom-line cost
  • Aggregation and sharing of best practices across the organization
  • Ensuring transparency of profitability, savings, & performance to increase discipline of strategic sourcing
  • Create forecasts for all necessary merchandise levels to support Planning, Replenishment, Allocation and other functional areas as identified
  • Establish and manage forecast exception thresholds
Data Science Analyst Intern
09/2005 - 03/2011
New York, NY
  • Helps identify weaknesses in current research
  • Tracks and monitors decision-making progress
  • Identifies KPIs related to the decision-making process such as the current iteration of knowledge-discovery and level of uncertainty in the target outcomes
  • Displays KPIs in a dashboard format to facilitate communication with the organization
  • Produces data visualizations to explain complex topics
  • Responds to ad-hoc requests
  • Access and process large sets of internal data or to scrape external sources
  • Automation of data collection, data encoding and efficient storage


University of Minnesota, Morris
2001 - 2005
Science's Degree in Statistics

Professional Skills

  • Advanced SQL skills and excellent programming skills in at least one of the quantitative analysis software packages/languages such as VBA, R, SAS and Python
  • Excellent verbal and written communication skills. Ability to develop and maintain strong working relationships with other team members
  • Strong knowledge of different database structures, strong data retrieval, reporting and analyses skills
  • Strong organizational skills, attention to detail, and the ability to prioritize
  • Strong algorithmic problem-solving skills including data investigating, testing, debugging
  • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively
  • Strong data mining skills using tools like SQL, R, Python, SAS, etc

How to write Data Science Analyst Resume

Data Science Analyst role is responsible for analytical, sql, programming, software, advanced, development, analysis, automation, organization, visualization.
To write great resume for data science analyst job, your resume must include:

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

Contact Information For Data Science Analyst Resume

The section contact information is important in your data science analyst 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 Data Science Analyst Resume

The section work experience is an essential part of your data science analyst 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 data science analyst responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular data science analyst position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Science Analyst resume experience can include:

  • Have strong statistical, mathematical, predictive modeling, or machine learning skills
  • Is able to independently develop and implement complex technical solutions and possesses strong critical thinking and problem-solving skills
  • Strong coding skills especially in Python especially using Django, NumPy, Pandas, Scrapy Frameworks
  • Strong people engagement skills, knowledge sharing, and training
  • Strong problem solving skills with an emphasis on solution development
  • Demonstrated experience with technology such as R, Python, and SAS. Strong understanding of SQL and other data concepts

Education on a Data Science Analyst Resume

Make sure to make education a priority on your data science analyst resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data science analyst 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 Data Science Analyst Resume

When listing skills on your data science analyst 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 data science analyst skills:

  • Has strong computer programming skills (experience in Python required)
  • Strong SQL skills and RDBMS experience
  • Critical thinking and effective strategic reasoning skills
  • Demonstrated ability to communicate ideas and analytical results effectively both verbally and in writing to both a technical and non-technical audience
  • Excellent communication skills: written, interpersonal, presentation
  • Excellent communication skills both in written and verbal

List of Typical Experience For a Data Science Analyst Resume


Experience For Senior Data Science Analyst Resume

  • Demonstrate evidence of strong analytical and communication skills, both written and oral
  • Good social skills with ability to connect and develop positive partnerships
  • Solid understanding and experience in Advanced Machine Learning, Deep Learning, Neural Networks, Regression models
  • Responsible for the validation and verification of production implementations, experience with system engineering, testing, and evaluation
  • Employs analytical skillsets, data processing, solution architecture and business acumen to tackle a wide range of problems
  • Inquisitiveness and a real passion for continued self-improvement and development of new skills
  • Algorithm and Data Structure skills

Experience For Mgen Bioinformatics Data Science Analyst Resume

  • Professional experience using SAS programming for data analysis and data processing
  • Experience extracting and manipulating large data systems (millions of rows of data)
  • Statistical experience and understanding of distributions, statistical testing, regression, etc
  • Experience developing and applying statistical and operations techniques within a business environment
  • Responsible for the effective application of advanced methods in machine learning and natural language processing to current and future Epiq products
  • Develop strong relationships with client facing teams and adhere to agreed project briefing and milestone management processes

Experience For Data Science Analyst / Senior Analyst Resume

  • Extensive background and demonstrated track record in obtaining and analyzing quantitative data to solve actual business problems
  • Experience with deep learning, big data and cloud computing
  • Experience with TensorFlow, Word2vec, and implementation of machine learning and natural language processing in Python and MATLAB
  • Experience working and analyzing healthcare data in particular claims (835, 837) and eligibility data
  • Support media engagement, Brands and agencies in data inputs collection and validation and fulfilling data and reports needs
  • Experience performing quantitative data analysis

Experience For Senior Data Science Analyst, Search Quality Resume

  • Experience working directly with business users and requirements documentation
  • A strong passion for empirical research and for answering complex questions with data
  • Extensive implementation experience with one or more of the following
  • Experience with analytical and quantitative problem solving
  • Two or more years of work experience utilizing statistical applications such as: R, SAS, and SPSS
  • Two or more years of experience in working with large datasets, and relational databases (SQL)

Experience For Data Science Analyst, Retail Analytics Resume

  • Desire to test & learn, experience working in an Agile environment/team
  • A strong passion to identify and solve real business problems using data from disparate sources
  • 5+years of related data analytics experience in relevant consulting, finance, data science or market intelligence functions
  • Experience using SAS, R, Matlab
  • Retail industry Consumer Analytics experience including: ecommerce and segmentation analytics
  • Experience in a role around the extraction, analysis and presentation of data
  • Good knowledge of SQL, Python and Excel and the ability to build SQL queries to manipulate data
  • Enthusiasm to deepen your experience with Python and other various systems and software

Experience For Machine Learning & Data Science Analyst Resume

  • Validate data analysis results with team members to ensure high quality deliverables
  • Experience with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc
  • Develop business requirements for a Supply Chain data repository to consolidate multiple ERP data sources into a comprehensive source for analytics
  • Strong Character – ability to champion the right decision in difficult situations
  • Collaborates with key stakeholders to include Distribution and Payroll to contribute to the design of effective incentive programs
  • Demonstrates understanding of digital tracking and QA
  • Ensure strong working knowledge of Experian DQT products and services and competitive landscape

Experience For Data Science Analyst, Customer Advocacy Resume

  • Experience with web and social analytics reporting suites
  • Comfortable and effective working in a dynamic and past-paced environment
  • Experience with Google Analytics or Omniture
  • Experience with Nielsen and comScore
  • Research, design, implement and validate models / algorithms to analyse diverse sources of data to achieve targeted outcomes
  • Experience using BI platfoms such as PowerBI, Tableau or Qlik

Experience For Clinical Data Science Analyst Resume

  • Experience with Qlik and data visualization an advantage
  • Assist with the implementation of strategy for data quality to validate and reconcile data based on data classifications
  • Build strong collaborative networks internally with stakeholders, and externally with academics, vendors and Contract Research Organisations (CROs) etc
  • Proven ability to foster a team-oriented environment
  • Very good career advancement
  • Excellent Communications both written and oral
  • Strong ability to conduct internet research
  • Experience with Regular Expressions/Regexp

Experience For Data Science Analyst Co-op Resume

  • Experience of at least one Web markup language i.e. HTML, CSS etc
  • Experience eliciting business requirements and executive metrics
  • Experience building business cases and project plans
  • Engineering or Science with zero-two years of experience; OR
  • Engineering or Science with two to four years of relevant experience; OR
  • Engineering or Science with six or more years of relevant experience
  • Experience on large scale computing systems like Spark, Hadoop, and/or similar systems

Experience For Engineering Data Science Analyst Resume

  • Demonstrated ability to source data across a variety of structured and unstructured data sources
  • Familiarity or experience with software development lifecycle
  • Excellent knowledge of EHR source systems and other patient registration and treatment databases
  • Experience in business analysis, requirements definition and translation in healthcare sector
  • Experience with ETL concepts
  • Work experience in Data Science and Analytics
  • Understanding of reporting systems and efficient data pipeline architecture
  • Consulting with clients and deciding what data are needed to answer specific questions or problems related to business
  • Working knowledge of MATLAB programming

List of Typical Skills For a Data Science Analyst Resume


Skills For Senior Data Science Analyst Resume

  • Strong time-management skills and ability to manage multiple clients, projects, and changing timelines
  • Demonstrated ability to effectively interpret data and modeling results, distill actionable insights and present them to stakeholders
  • Strong communication skills and an ability to work successfully in a distributed workforce
  • Excellent verbal and written skills when communicating results, potential bias, advanced methods, and scope of inference from analyses to stakeholders
  • Strong communication and leadership skills to influence cross-functional teams
  • Excellent time management skills with the ability to work under pressure and deliver on tight deadlines

Skills For Mgen Bioinformatics Data Science Analyst Resume

  • Operate appropriately and effectively in a dynamic, highly matrix and fast-paced environment
  • Strong collaboration and written / oral communications skills
  • Excellent communication skills with an ability to translate data into easy to understand insights
  • Demonstrates intellectual curiosity and analytical skills in areas of high complexity and ambiguity
  • Strong skills in R, SAS, Matlab, Hadoop, SQL and/or Mongo DB

Skills For Data Science Analyst / Senior Analyst Resume

  • Strong documentation skills in English
  • Strong communication, inter-personal and communication skills
  • Excellent project management skills to build and execute project plans with clearly defined deliverables, timelines, and ownerships
  • Effective communication and presentation skills Expert in MS Suite (Excel, PowerPoint, Word)
  • Effective communication skills: both verbal and written

Skills For Senior Data Science Analyst, Search Quality Resume

  • Programming skills in Python or similar language
  • Outstanding oral and written communication skills with the ability to outline strategies and translate into actionable plans
  • Strong understanding and hands-on experience in Machine Learning algorithms using open source scripting language across different machine learning platforms
  • Advanced skills and training in data mining, predictive analytics, machine learning and other analytical techniques
  • Hands-on advanced analytics experience such as marketing mix analytics, pricing elasticity analytics, sales effectiveness and commercial analytics
  • Manage changing/conflicting priorities and make effective decisions quickly
  • Part of an extended team, consisting of top tier procurement executives, engineering experts, and thought leaders for skillset growth and knowledge development

Skills For Data Science Analyst, Retail Analytics Resume

  • Relevant analytical experience with a solid foundation in using a technical approach to solving business problems
  • Solid knowledge of statistics and machine learning, and experience with both in SAS
  • Demonstrated self-learning and skill enhancement
  • Proven ability to consistently manage and prioritize multiple tasks, projects, and relationships
  • Experience with performing functional analyses of organizations, mission effectiveness, or business processes
  • Experience doing quantitative analysis on digital products and experiences
  • Expert presentation & communication skills; comfortable with working with senior management level personnel both inside and outside the organization
  • Is able to learn new technical topics and develop new technical skills quickly

Skills For Machine Learning & Data Science Analyst Resume

  • Is able to clearly and effectively communicate complex concepts
  • Expert skills with MS Office applications - Word, Excel, Visio
  • Designs and implement analytic tools that solve business problem effectively and efficiently
  • Effectively translate requirements and specifications into solutions via custom built reports
  • Most importantly a hunger and eagerness to learn and develop your skills in data analysis, optimization and consumer insight
  • Experience writing white papers on the new concepts tested; Experience in documentation
  • Effectively communicate results back to research staff
  • Excellent skill in automation to increase efficiency in model development and deployment
  • Marketing and consumer analytics including experience with customer segmentation

Skills For Data Science Analyst, Customer Advocacy Resume

  • Working experience with Deep Neural Networks for Multivariate Time-Series Modeling
  • Coding knowledge and experience with several languages: C, C++, Java,
  • Developing strong analytics based on sound statistical processes
  • Providing strong stewardship around corporate resources
  • Continuing to look for data-driven operational gains in efficiencies and effectiveness
  • Excellent understanding of machine learning techniques and algorithms, such as building Ensembles (Bagging, Boosting), k-NN, SVM, Decision Forests, XGBoost etc

Skills For Clinical Data Science Analyst Resume

  • Experience in extracting, cleaning, preparing and modeling data
  • Experience of designing and building compelling information delivery tools
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc
  • Experience working in a health plan or consulting actuarial, financial reporting or medical economics departments highly valuable
  • Broad research and consulting experience in marketing science and market research, advanced and strategic analytics in consumer health, pharma and/or PCG
  • Demonstrates proficiency in several areas of data science including data engineering and data analytics, and data visualization
  • Experienced in using applied mathematics programming languages (e.g., R)
  • Relevant experience—data mining & digital media analytics, working with clients and a love of data and insights

Skills For Data Science Analyst Co-op Resume

  • Gather, consolidate, and summarize all key information necessary for the training team in order to make the training customized and relevant
  • Experience with business analysis including problem definition and mapping
  • Good at context switching and a fast learner
  • Experience in data management , reporting, and analytics
  • Experience of working collaboratively and successfully with a variety of different stakeholder groups
  • Experience in working on data technology projects, ideally as a project manager or at least with responsibility for delivery
  • Relevant data programming or data analytic experience related to health care
  • Relevant programming or analytic experience
  • Experience in machine learning and statistics

Skills For Engineering Data Science Analyst Resume

  • At least two (2) years of analytics development experience for a health provider, health plan or accountable care organization including either
  • Experience with command-line scripting, data structures, and algorithms
  • Experience in a position requiring analytics in a team based atmosphere
  • Experience in SAS or SQL or other programming languages
  • Experience with / working knowledge of SQL

List of Typical Responsibilities For a Data Science Analyst Resume


Responsibilities For Senior Data Science Analyst Resume

  • Apply your expertise in quantitative business analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our business products
  • Prior professional experience in consumer packaged goods or distribution / wholesale
  • Effectively communicate model approach, outputs and insights to IT and Analytics audiences
  • Experience with quantitative analysis
  • AS and SQL experience
  • Relevant work experience related to leveraging analytics and working with large amounts of data to drive significant business impact
  • Makes recommendations based on detailed analysis with an understanding of critical assumptions and connectivity to business priorities

Responsibilities For Mgen Bioinformatics Data Science Analyst Resume

  • Have strong model development disciplines: model approach, transparency, interpretation, implementation, documentations, and compliance management
  • One to five years’ relevant professional experience in analytics, finance, or other quantitative role
  • Writing scalable code capable of driving efficiencies in our data analysis and business overall
  • Collecting quantitative data from across the estate of databases uses SQL
  • Building and implementing business intelligence products, including reporting dashboards

Responsibilities For Data Science Analyst / Senior Analyst Resume

  • Passionate about learning and developing and a ‘can-do’ attitude
  • Communicate to technical and non-technical audiences worldwide, and contributing modeling expertise as a team player
  • Develop and implement optimization programs to improve planning outputs for manufacturing and distribution operations
  • Develops understanding of sales strategies across products and client segments in order support the improvements and increase accuracy of sales planning
  • Develop data science and applied advanced analytics to understand our business and solve problems using Sabre and/or external data

Responsibilities For Senior Data Science Analyst, Search Quality Resume

  • Partner with Product Managers and Architects to deliver a robust and scalable solution to improve hotel shopping capabilities
  • Automate processes to improve turnaround time on data availability and increase efficiencies in statistical model building process
  • Develop dashboard tools, prototype proposals, implementation plans or training communications and present to business stakeholders
  • Evaluate and analyze results relative to expectation. Understand, explain and communicate variances and adapt solutions to reflect emerging insights
  • Document current and future business processes by working with key business contacts to observe, analyze and report
  • Knowledge of an additional general purpose programming language such as C++ or Java
  • Design and deliver standard and custom content reporting that satisfies the clients business needs, keeps within contractual scope, and is completed on time
  • Combine data with outputs from operational databases using Google Analytics and Google Adwords

Responsibilities For Data Science Analyst, Retail Analytics Resume

  • Debug and solve programming problems
  • Perform in depth data analysis including but not limited to
  • Develop and implement metrics, functions, and scripts as KPIs and in existing BI/Dashboards as needed
  • BS in a quantitative field such as Statistics, Mathematics, Operations Research, Economics, Computer Science, Machine Learning (or similar)
  • Exposure to machine learning techniques and algorithms

Responsibilities For Machine Learning & Data Science Analyst Resume

  • Proficiency in using query languages such as SQL and use of relational databases and SQL
  • Develop and implement diagnostic tools for use by business users to identify performance oppourtunities and root cause for action planning
  • MS in Statistics, Operations Research, or Engineering
  • Advanced experince with data visualization tools like Tableau, QlikView, Qlik Sense, etc., deploying BI tools at scale
  • Inform, influence, support, and execute our business decisions and product launches

Responsibilities For Data Science Analyst, Customer Advocacy Resume

  • Manage process and software for visualization of data outputs for easy consumption by internal and external
  • Participate on cross functional teams to support division wide initiatives
  • Establish clear communication and processes to optimize intake and execution of the team’s work
  • Partner with data scientists and business sponsors and provide analytical support to drive actionable insights
  • Create business case and cost benefit analysis to outline the detailed project scope, deliverables, KPIs and use cases
  • Coordinate with key stakeholders to ensure analytical solutions are delivered consistently
  • Works closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization

Responsibilities For Clinical Data Science Analyst Resume

  • Extract, clean and conduct descriptive analysis on large scaled internal/external (structured and unstructured) datasets
  • Participate in predictive modeling project using actuarial methods, statistical technique and machine learning algorithms in the area of commercial underwriting and pricing
  • Work with SMEs of other areas such as product support, rate filing department, line of business actuaries, and IT group to develop rater and deploy predictive models
  • Communicate insights from quantitative analyses to technical and non-technical audiences
  • Thorough, hands-on understanding of advanced modeling methods such as GAMs, GBMs, GLMs, GLMMs, GMMs, decision trees, regularization techniques, SVMs, and random forest etc

Responsibilities For Data Science Analyst Co-op Resume

  • Organized, self-motivated, results-oriented and resourceful
  • Participate in discovery sessions and discussions with clients to understand their core business, and how they use data to drive their decisions, actions, and bottom line
  • High visibility to executive leadership teams across marketing, engineering, operations, etc. for career progression and capability development
  • Assess client needs and business requirements, match it with technical capabilities, and communicate feasibility to client
  • Identify implementation roadblocks and aid in client adoption/change management
  • Make recommendations related to Marketing Mix Modelling, Multichannel Attribution, cohurt analysis as well as modelling sales and demand to optimise stock purchasing
  • Help to implement new big data-tools and be willing to learn and understand the use of these tools and how they lend themselves to data-driven insights
  • Collaborates with team members towards achieving clients’ objectives
  • Responsible for implementing statistical methodologies and data analysis techniques as set forth in project requirements

Responsibilities For Engineering Data Science Analyst Resume

  • Opportunity to drive cutting-edge strategies for one of the industries largest high tech companies
  • Guides the correct use of reported data through client engagement and client training
  • Identify areas where changes to a Modeling approach can improve business processes
  • Plan and execute testing of model and system changes
  • Provide on-going client support and ad-hoc analysis as required

Related to Data Science Analyst Resume Samples

Analyst, Data Science Resume Sample

Work Experience

  •  Previous experience in machine learning and algorithm development is required   •  Build, test and implement reports with accurate, easy to read, useful information that satisfies company and client needs   •  Collaborate with internal stakeholders, data stewards, team managers, en...
Professional Skills

  •  Using super strong technical skills to tur...
  •  Strong influencing and dealing skills with...
  •  Proven programming experience in at least ...
12 votes

Data Science Resume Sample

Work Experience

  •  Guiding junior data scientists to use machine learning to deliver products to address these use cases using both structured and unstructured data within Hadoop, Teradata, and SQL   •  Designing experiments to determine best methodology for the job   •  Creating machine learning mod...
Professional Skills

  •  Strong interpersonal and collaboration ski...
  •  Good people management skills with at leas...
  •  Strong skills using predictive modeling to...
17 votes

Science Analyst Resume Sample

Work Experience

  •  Leverages business/analytical knowledge to participate in discussions with cross-functional teams to understand and collaborate on business objectives and influence solution strategies. The business problems analyzed are typically medium to large scale with impact to current and/or future business strategy   •&...
Professional Skills

  •  Proven experience using problem solving sk...
  •  Experience working in an Agile/SAFE team e...
  •  Strong problem-solving, critical thinking,...
19 votes

Science Resume Sample

Work Experience

  •  Provide medical support and training (i.e. disease state and product) to Novartis colleagues (e.g. sales reps, CRAs, etc.).   •  Serve as a resource for projects and collaborate with internal colleagues as assigned by SciOps Head   •  Collaborate with Medical Advisors/Medical and o...
Professional Skills

  •  Entrepreneur mind with excellent analytica...
  •  Excellent communication, strategic and cri...
  •  Strong project management and organization...
11 votes

Research Science Resume Sample

Work Experience

  •  Prior experience participating in or leading research administration at an NCI-designated center   •  Direct involvement with P30 grant submission   •  Direct familiarity with P30 grant guidelines, processes, and expectations   •  Five years of related experienc...
Professional Skills

  •  Strong creative thinking and problem solvi...
  •  Strong leadership and communication skills...
  •  Innovative problem solving skills, solid u...
12 votes

Life Science Resume Sample

Work Experience

  •  Perform or assist in routine veterinary procedures and surgery preparation   •  On a daily basis, monitor animal health (including during post-operative recovery), maintain health records, and administer routine medications and treatments   •  Provide initial training of non-human ...
Professional Skills

  •  Good presentation, communication and inter...
  •  Strong general computer skills, experience...
  •  Excellent organizational skills and demons...
16 votes
Resume Builder

Create a Resume in Minutes with Professional Resume Templates