Data Science Lead, Personnel Health Research & Data Analytics
$100,000–$120,000 year
HybridAlexandria, Virginia, United States
Job Summary
Apply sophisticated data science and quantitative social science principles to research and operational projects, serving as technical lead for machine learning, natural language processing, and advanced statistical modeling. Design analytic solutions using R, Python, and Databricks to execute automation, data wrangling, and exploratory analysis while leveraging AI tools to accelerate reporting. Interpret complex results to identify patterns and recommendations, communicating trade-offs and distilling findings for both technical and non-technical audiences. Oversee a matrixed team of researchers and analysts, managing task plans, scope, and financial controls to ensure rigorous delivery. Directly interface with client teams to build relationships, develop briefings, and respond to ad hoc requests.
Required Qualifications
- Master's degree
- PhD in a heavily quantitative social science (e.g., sociology, political science, psychology), data science, or related field
- A minimum of four years of post-graduate applied research experience leading applied research projects
- Experience managing multiple concurrent work streams, delegating and overseeing tasks, and supervisory experience
- Experience interfacing directly with clients, overseeing high-quality deliverable creation, and ensuring projects align with client expectations and quality standards
- Proficiency with AI-enabled tools
- Demonstrated experience working with diverse data sources, including survey, personnel, administrative, and text data
- Working knowledge of survey workflows supporting population definition, sample frame construction, and feature table creation to assist in survey package and tool development (R and Python)
- Willingness and ability to learn new analytic approaches, methods, and research topic areas
- Strong verbal and written communications skills, including the ability to describe technical concepts and results to both technical and non-technical audiences
- Strong problem-solving skills and the ability to troubleshoot barriers as they arise
- Experience working in R/R Studio
- Experience with Databricks
- Experience with Python
- U.S. Citizen
- Consent to a full background check
- Ability to work on-site in the Washington D.C. area 2-3 days a week
- Ability to work on-site in the Alexandria, VA area 2-3 days a week
Desired Qualifications
- PhD in a heavily quantitative social science (e.g., sociology, political science, psychology), data science, or related field
- Experience with SQL
- Experience with Gitlab
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