Data Statistician Resume Sample

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Cooper Moen
6951 Schoen Summit,  Dallas, TX
+1 (555) 829 9737

Work Experience

Data Analytics Specialist / Statistician
08/2015 - PRESENT
San Francisco, CA
  • Detect data anomalies and identify source of data problems. Recommend data quality solutions
  • Experience in providing the results of analyses in clear written form and presenting the findings to the audience
  • Discuss reasoning, critical assessment of facts and opinions
  • Burn-in control that ensures product quality/reliability and production efficiency. This responsibility includes
  • Perform routine burn-in data analysis and communicate analysis results to manufacture (Fab), product, test, and quality engineers
  • Work with product, test and quality engineers to determine proper burn-in conditions and evaluation metrics for burn-in control
  • Work with product, test, and quality engineer to complete support burn-in related projects such as designing/conducting/analyzing burn-in experiments; data mining to identify correlation or cause/effect between manufacture process or customer results and burn-in results
  • Provide consultation to internal or external customer regarding quality and reliability of Micron’s products
  • Ensure Data Quality and Reliability. Design and implement various Data Quality methods in SAS and Oracle database. Run quality checks against database and report all data issues. Detect data anomalies and identify source of data problems. Recommend data quality solutions
Statistician / Data Scientist
11/2008 - 04/2015
Dallas, TX
  • Experience in quantitative field
  • Perform model independent validation of complex predictive models (decision trees, linear regressions, models for binary outcome) within the agreed schedule and ensure execution follows the global methodology and is in compliance with model governance policy, guidelines and OCC requirements
  • Apply statistical methods to organize, analyze, and interpret data to perform model validations
  • Build benchmark or challenger models to replicate model results, evaluate model assumption, data completeness, limitations, conceptual soundness, functional soundness, modelling methodology, outcome analysis, etc. of models being validated
  • Prepare model validation reports in a detailed, structured and clear manner, describing the outcomes of the analysis performed and include a conclusion based on the validation
  • Conduct annual model performance assessments to ensure existing models are working as intended and meet the criteria and /or make model improvement recommendations.
  • Perform model independent validation of predictive models (linear regressions, models for binary outcome) using SAS/R statistical software within the agreed schedule and ensure execution follows the global methodology and is in compliance with model governance policy, guidelines and OCC requirements
Data Science Statistician
12/2001 - 10/2008
Houston, TX
  • Conduct annual model performance assessments to ensure existing models are working as intended and meet the criteria and /or make model improvement recommendations
  • Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds
  • Use visualization techniques to display data and the results of analysis in clear presentations that can be understood by non-technical readers
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, Oracle Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate graphical data reports, including data cross-tables, scatter plots and statistical measures
  • Experience in data mining methods / data analysis and their application in business practice
  • Experience with relational databases such as Oracle, SQL Server
  • Strong statistical/data analytical skills


Lawrence University
1996 - 2000
Bachelor's Degree in Statistics

Professional Skills

  • Experience designing, executing or assisting with social science research
  • At least 1 and preferably 2 years of experience using the above languages and maintaining a relational database is required
  • Experience working with time-series data (outlier analysis, forecasting, etc.)
  • Experience writing complex queries on relational (SQL) databases, using suitable query tools (MS-Access, SQL Developer)
  • Experience in analysis of neurodevelopmental assessment data (e.g., ADI-R, ADOS, cognitive testing)
  • Two or more years of industry experience in data modelling and analysis
  • Significant experience using R is required

How to write Data Statistician Resume

Data Statistician role is responsible for programming, government, analytical, manufacturing, training, database, purchasing, reporting, design, research.
To write great resume for data statistician job, your resume must include:

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

Contact Information For Data Statistician Resume

The section contact information is important in your data statistician 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 Statistician Resume

The section work experience is an essential part of your data statistician 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 statistician 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 statistician position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions.

Representative Data Statistician resume experience can include:

  • Design, develop and deploy data-driven predictive models/algorithms to solve business problems using the latest technologies in operations research, machine learning and statistical modeling
  • Experience working in multiple types of database environments (Oracle, MS SQL, etc.)
  • Work experience in applied statistics, econometrics or data science
  • Design, build and operationalize forecasting models
  • Work collaboratively with statisticians and data scientists to assist in the design and implementation of analysis to answer challenging business questions
  • Solve complex problems involving the collection, analysis and interpretation of data

Education on a Data Statistician Resume

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

When listing skills on your data statistician 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 statistician skills:

  • Statistical/data analytical skills - including both calculation and interpretation of outcomes
  • Experience with: SQL; Python; R; VBA, Hadoop
  • Existing systems for data management are based on Microsoft Access, REDCap (using MySQL), and XNAT (using PostgreSQL)
  • Neuroimaging data archiving, storage, and retrieval requires knowledge of UNIX/Linux
  • Understanding of statistical principles and their application to solve complex problems
  • Responsible for working with the Lead Modeler to refine the methodology and approach, and collecting and analyzing data

List of Typical Experience For a Data Statistician Resume


Experience For Statistician / Data Scientist Resume

  • Experience that has led to the understanding of government agency’s mission and business processes in order to help users solve their problems
  • Be able to communicate the ideas and solutions of statistical modeling to non-statisticians within the company
  • Be willing to travel up to 10% (incl. overseas)
  • Background in statistical analysis and an understanding of business analytics and apply it to the current and future business and mission environment at government agency
  • Familiarity with current government agency products
  • Knowledgeable in a variety of government agency’s software, services and business analytic tools

List of Typical Skills For a Data Statistician Resume


Skills For Statistician / Data Scientist Resume

  • Polished conceptual and analytical skills
  • Experience with data analysis and visualization tools (e.g., Excel, R, SAS, Power BI, SQL) and programming (e.g., Python, Visual Basic, Java)
  • Deep knowledge of machine learning algorithms such as decision trees, neural networks, clustering, collaborative filtering, survival analysis, etc
  • Creates databases for analysis using various types of statistical software including but not limited to SAS and SPSS
  • Basic knowledge of university planning and planning processes
  • Uses data mining for structured and unstructured information to join and explore relationships in disparate data sets

Skills For Data Analyst / Statistician Resume

  • Advanced knowledge of statistical analysis and database design using SPSS, Database tools (Oracle, Access, and SQL)
  • Plan data collection methods for specific projects
  • Determines the appropriate statistical tests to use to answer research questions
  • Comprehend and analyze data results and to present data in laymen’s terms
  • Works with various stakeholders to develop business questions and identify the data necessary to analyze and answer those questions

Skills For Data Science Statistician Resume

  • Collaborate across a diverse team of analysts and statisticians
  • Utilizes industry standard communication and visualization tools to visualize and communicate complex quantitative information and analysis to senior executives
  • Applies business analytics and customer segmentation techniques in any corporate function, e.g. operations analysis, forecasting analytics, marketing analytics, consumer analytics or other relevant fields
  • Applies advanced analytics capabilities to derive insights from a combination of unstructured, semi-structured, and structured data
  • Demonstrate good oral and written communication skills, along with good interpersonal skills and an ability to work cooperatively and effectively as a team member
  • Demonstrated participation in highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems

Skills For Data Analytics Specialist / Statistician Resume

  • Proficiency in data visualization and scripting/programming language
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to customer’s problems
  • Familiarity with MS Office, data mining, ability to develop and manipulate, and maintain databases
  • Work well in a relatively fast paced and time critical environment.Search Jobs US
  • 2) Contractor personnel shall possess knowledge of human subjects’ research
  • Expertise in longitudinal data analysis
  • Demonstrated experience using COTS statistical software (SPSS, SAS, MatLab etc.), COTS desktop software (MS Office and Access), and the Windows operating environment

Skills For Data Insight Analyst Statistician Resume

  • Of particular importance is software packages used for advanced statistical analysis of operational data and tools for data visualization
  • Competitive social benefits (medical care, Benefit System, life insurance and other)
  • Chance for a career evolution within Citi business structures
  • Citi provides wide breadth of opportunities within Poland and globally for outstanding candidates: management career within CSC Poland or client/product role within other locations in EMEA
  • Possesses strong written and oral communication skills, and the ability to interact with senior government officials
  • Develop, analyze and monitor key company metrics to identify risks and opportunities for Twitter

Skills For Maryland Longitudinal Data System Statistician Resume

  • Write and interpret complex SQL queries for standard as well as ad hoc data analysis purposes
  • Cross functional experience in several of the following functional areas: warranty or quality, product portfolio planning or marketing, product development, product launch, supply chain, manufacturing engineering, manufacturing strategy, vendor tooling and / or purchasing
  • Master’s in a system analysis field including: Operations Research, Engineering, Management Science, Marketing, Mathematics, Statistics, Economics, Decision Science, Computer Science, and Business Administration or equivalent experience
  • Perform model maintenance and update analyses as needed
  • Closely work with Starbucks Technology teams to build scalable, efficient systems from prototype to production
  • Aggregate and analyze data pulled from disparate sources and related industry and external benchmarks; provide insights and a point of view on analysis and recommendations
  • Prepare analyses of data sets using accepted norms of statistical analysis and current methodologies

Skills For Statistician Data Analyst Resume

  • Report results in a manner which is both statistically rigorous and relevant to all audiences
  • Ensure OIPA’s queries and outputs are accurate and vet final production of reports for dissemination
  • Develop and implement strategies to assure optimum use and understanding of data sets by Institutional Planning and Analysis staff and other administrative units in the University community
  • Propose, review and streamline processes and procedures within the Office and with other administrative units in support of the Office’s mandate
  • Develop collaborative networks both within and outside the University in the development of statistical tools and methodologies in support of planning and decision making
  • Undertake and coordinate special projects/initiatives as assigned
  • Familiar with university, college and government data management and utilization

Skills For Statistician / Data Manager Resume

  • Good knowledge (Level 4) of written and spoken English and French in order to liaise with personnel at the Ministère de l’éducation et enseignement supérieur (MEES) and with the Bureau de coopération interuniversitaire (BCI), and for conveying complex information and concepts to internal and external constituents
  • Advanced knowledge of Excel and Access. Knowledge of Tableau and SAP an asset
  • Serve as a principal liaison with personnel at the Ministère de l’éducation et enseignement supérieur (MEES) and with the Bureau de coopération interuniversitaire (BCI) for specific dossiers (e.g., space norms, reporting for the Fonds de recherche du Québec – Société et culture (FRQSC) and the Fonds de recherche du Québec – Nature et technologies (FRQNT) )

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