Description
We are GDIT, a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. We ensure today's safety and tomorrow's smartness.
The Data Science Advisor (DSA) leads the POTFF Enterprise Data and Analytics function and serves as the primary analytical advisor to the Enterprise POTFF Director, Domain Leads, and the Human Factors Council (HFC) on research methodologies, data collection strategies, and program evaluation.
Responsibilities:
- Serve as the lead for the Enterprise Data and Analytics function: plan, prioritize, assign, and review the work of Data Engineers, Data Scientists, and Senior Data Scientists.
- Serve as the primary analytical advisor to the Enterprise POTFF Director, Domain Leads, and the HFC regarding research methodologies, data collection strategies, study design, and program evaluation.
- Design and oversee Government-directed program evaluations, analyses, and experiments that measure the validity, efficacy, and Return on Investment (ROI) of POTFF interventions.
- Establish and maintain the team's analytical standards, data governance practices, reporting methodologies, and performance-measurement frameworks.
- Translate Government priorities into analytical requirements; support the strategic planning process for POTFF programs with data-driven decision support.
- Prepare and deliver reports, briefings, and decision-support products that accurately convey findings, limitations, and recommendations to Government leadership.
Requirements:
- Master's degree in a quantitative discipline, including statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration.
- Minimum of 8 years of related experience.
- Demonstrated expertise in research methods, study design, and program evaluation.
- Advanced proficiency in Python or R and in SQL.
Preferred Qualifications:
- Experience with human performance, sports science, health, clinical, or biomedical data or research.
- Agile or Scrum certification.
- A doctoral degree in one of the listed disciplines.
Benefits:
- 401K with company match
- Comprehensive health and wellness packages
- Internal mobility team dedicated to helping you own your career
- Professional growth opportunities including paid education and certifications
- Cutting-edge technology
Location: Various CONUS sites
Clearance: Top Secret/SCI
Salary Range: $128,039 - $173,229