HOW A DATA SCIENCE ADVISOR (DSA) WILL MAKE AN IMPACT
Serve as the lead for the Enterprise Data and Analytics function: plan, prioritize, assign, and review the work of the Data Engineers, Data Scientists, and Senior Data Scientists under their purview in response to Government-directed requirements, and manage the analytical backlog using an Agile or comparable framework.
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; select appropriate statistical models and study designs; and ensure data quality and defensible, reproducible methodology.
Establish and maintain the team’s analytical standards, data governance practices, reporting methodologies, and performance-measurement frameworks in coordination with Government data governance, and ensure compliance with DoW Impact Level 5 (IL5), HIPAA, Privacy Act, and applicable DoW artificial intelligence and machine learning (AI/ML) policy.
Translate Government priorities into analytical requirements; support the strategic planning process for POTFF programs with data-driven decision support; and support the development of enterprise performance measures, executive dashboards, and readiness metrics.
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, and on the interpretation of analytical products.
Coordinate with the USSOCOM Enterprise Data Team and other Government data organizations on data access, standards, and shared platforms, as directed by the Government.
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, subject to Government approval.
WHAT YOU’LL NEED TO SUCCEED
EDUCATION: 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, with documented coursework or professional application in statistics, programming, and quantitative analysis; or a bachelor’s degree in such a discipline with the additional experience stated under Required Minimum Experience/Skills below.
