Responsibilities
- Apply advanced data science and quantitative methods to social science and operational research initiatives
- Act as technical lead on data-intensive research projects
- Develop analytical strategies for complex, open-ended research questions using techniques such as multi-level modeling, factor analysis, clustering, LASSO/Ridge regression, natural language processing, and machine learning
- Interpret data analysis outcomes to detect trends and generate actionable insights; simplify technical findings for diverse audiences
- Explain the advantages and limitations of different analytical methods to both technical and non-technical stakeholders
- Manage survey processes including population definition, sample frame creation, data sourcing, cleaning, deduplication, and quality validation
- Utilize artificial intelligence tools to improve research efficiency, develop internal prototypes, advance AI capabilities, and train team members
- Supervise data workflows in R, Python, and Databricks, including automation, package development, data cleaning, exploratory analysis, and advanced modeling
- Lead complex projects by defining work plans, timelines, scope controls, financial oversight, and resource alignment to ensure on-time, high-quality delivery
- Lead and mentor a cross-functional team of data scientists and analysts, assigning tasks and providing guidance and professional development support
- Coordinate with internal project leads and managers to meet staffing and technical needs
- Gain in-depth knowledge of client goals and missions; engage directly with client teams to build trust and ensure collaborative success
- Ensure all project outputs meet client expectations and quality standards
- Lead the creation of client reports and presentations; mentor staff in delivering high-impact client communications
- Oversee the production of clear, audience-appropriate reports for both technical and general readers
- Respond to client inquiries, proposal requests, and time-sensitive data needs
- Manage a small team of data-focused professionals
- Work closely with interdisciplinary teams of data and social scientists to foster innovation and continuous improvement
Work Arrangement
Hybrid — Washington, D.C.
Other
- Applicants must undergo a government security investigation and meet eligibility requirements for access to sensitive information.
- Must be able to work on-site in the Washington, D.C. area 2-3 days per week.
- U.S. citizenship is required, along with consent to a comprehensive background check due to federal contract obligations.
- This organization is an Equal Opportunity Employer; all qualified applicants receive fair consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
