Statistician (Data Scientist)

Veterans Affairs, Inspector General•Denver, CO

About The Position

The Department of Veterans Affairs (VA), Office of Inspector General (OIG), Office of Data and Analytics, provides advanced data analytics, business intelligence, and electronic data processing support to OIG directorates. The Statistician (Data Scientist) serves as a technical expert in data modeling and supports projects by applying complex modeling theories and techniques. At the GS-12 level, this is a developmental position in which assignment complexity increases as the employee's knowledge and skills grow. The role applies data modeling and quantitative techniques to specific problems, analyzes and interprets samples, selects appropriate modeling, operations research, or management analysis methods, and uses relevant computer systems and software. It also conducts theoretical and quasi-experimental investigations to develop or improve theories and techniques for systems-analysis problems involving accuracy, reliability, availability, and maintainability. The Statistician provides guidance on selecting and using sampling and analysis methods to produce defensible results, including on survey design and analysis issues.

Requirements

  • Meet the Statistician individual occupational requirement through either a degree with 15 semester hours in statistics (or mathematics and statistics, including at least 6 semester hours in statistics) and 9 additional semester hours in specified sciences or social sciences, or a combination of the listed coursework with appropriate experience or additional education.
  • Have one year of specialized experience equivalent to the GS-11 level, including assisting with research and compiling data for inspection, audit, and investigation activities; supporting data processing and analysis using analytic platforms and software; and contributing to data briefings, dashboards, and presentations based on analysis.
  • Current federal employees must meet the applicable time-in-grade requirement: 52 weeks at the GS-11 level for GS-12.
  • Current federal employees serving on a non-temporary competitive appointment must have served at least three months in that appointment.
  • Be a U.S. citizen or U.S. national.
  • Undergo a Public Trust background investigation and, if applicable, a probationary period.
  • Use direct deposit/electronic funds transfer, complete required federal employment and identity-verification processes, and obtain and use a government-issued purchase card for business-related travel.
  • File a Confidential Financial Disclosure Report within 30 days of appointment and annually thereafter.
  • Submit education documentation when claiming education toward qualifications; foreign education must be evaluated as specified in the announcement.

Responsibilities

  • Serve as a technical expert in data modeling techniques and apply complex data modeling theories and techniques to support projects.
  • Apply data modeling methods and quantitative techniques to solve specific problems; analyze and interpret data modeling samples; select and use data modeling, operations research, or management analysis methods; and use appropriate computer systems and software.
  • Conduct theoretical and quasi-experimental investigations to develop or improve theories and techniques for systems-analysis problems involving accuracy, reliability, availability, and maintainability.
  • Advise and guide others on selecting and using data modeling, sampling, and analysis methods to produce defensible results, including survey design and analysis.

Benefits

  • Flexible work schedules
  • Eleven paid holidays
  • 13 days of sick leave
  • 13 to 26 days of vacation time each year
  • Access to insurance programs that may be continued after retirement
  • A choice of health insurance plans, including coverage for pre-existing conditions and no waiting periods
  • Employer payment of up to 75% of health insurance premiums
  • Retirement program with employer-matching contributions
  • Opportunities for advancement
  • Bonuses and incentive awards
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