Supervisory Data Scientist

Administration for Strategic Preparedness and Response • Washington, DC

2d

About The Position

This position is with the Department of Health and Human Services, Administration for Strategic Preparedness and Response, headquartered in Washington, District of Columbia. The Supervisory Data Scientist develops analytical products and communicates findings, performance metrics, and recommendations to leadership and stakeholders. The role advances enterprise data capabilities by coordinating analytical initiatives, supporting system enhancements, and integrating data resources across programs. It also oversees personnel and organizational resources to support effective program execution, workforce development, and operational priorities.

The position requires a qualifying degree in mathematics, statistics, computer science, data science, or a directly related field, or an appropriate combination of education and experience. Applicants must also have at least one year of specialized experience equivalent to the GS-13 level in the Federal service, covering data analysis and program evaluation, leadership of analytics initiatives, presentation of findings, and supervision and development of professional staff.

Requirements

• Possess a degree in mathematics, statistics, computer science, data science, or a directly related field, with the major field of study appropriate to the position and at least at the baccalaureate level; or have 30 semester hours of equivalent coursework in such a field plus additional education or appropriate experience.
• Have at least one year of specialized experience equivalent to the GS-13 grade level in the Federal service.
• Specialized experience must include analyzing data, evaluating program effectiveness, identifying operational risks, and developing recommendations to support organizational objectives.
• Specialized experience must include leading data analytics initiatives, implementing analytical tools or methodologies, and overseeing data modeling or analytical activities.
• Specialized experience must include translating complex information into actionable recommendations and presenting results to leadership, customers, or other stakeholders.
• Specialized experience must include supervising professional staff, establishing priorities, and fostering workforce development in support of organizational goals.
• Be a U.S. citizen.
• Meet applicable time-in-grade restrictions by the closing date.
• Complete a background security investigation and receive favorable adjudication; a financial disclosure statement may be required.
• Pass an applicant drug test; the position is subject to random, reasonable-suspicion, and post-accident drug testing.
• Provide a resume documenting exact employment dates and hours worked per week for part-time experience; qualifying experience outside the employee's official series and grade may require supporting documentation.

Responsibilities

• Develop reports, visualizations, presentations, and other analytical products to communicate findings, performance metrics, and recommendations to leadership and stakeholders.
• Coordinate analytical initiatives, support system enhancements, and integrate data resources across programs to advance enterprise data capabilities.
• Communicate analytical findings and program results to leadership and stakeholders through reports, presentations, and performance measures.
• Oversee personnel and organizational resources to ensure effective program execution, workforce development, and achievement of operational priorities.

Benefits

• Federal employee benefits package for employees and their families; specific eligibility depends on position type.
• Incentives may be authorized, subject to factors including funding availability. Possible incentives include moving expenses, recruitment or relocation incentives, student loan repayment, superior qualifications appointment, and creditable service for annual leave based on prior non-federal work or uniformed military service.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior