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.
- 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.
- Provide consultation to supported units and POTFF staff on opportunities and methods for capturing data on POTFF programs and initiatives.
- Coordinate with the USSOCOM Enterprise Data Team and other Government data organizations on data access, standards, and shared platforms.
- Perform advanced analysis personally when required, and maintain currency in statistical analysis, data science, AI/ML, data engineering, and visualization technologies.
- Coordinate and advise on the training and professional development of the data science personnel under their purview.
Requirements:
- Master's degree in a quantitative discipline, including but not limited to 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 seven (7) years of professional experience applying data science, statistics, or research methods to real-world problems, including at least two (2) years supervising or leading analysts.
- Demonstrated expertise in research methods, study design, and program evaluation, including quantitative and qualitative methods.
- 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 disciplines listed above, or a history of peer-reviewed publications.
- Familiarity with the Government-furnished technology stack.
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 you can learn from
- Rest and recharge with paid vacation and holiday
Salary: $128,039 - $173,229