Senior Data Scientist
Listed on 2026-01-12
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Business
Data Analyst, Data Scientist
Summary
This position is located within the Office of Planning, Analysis, and Risk Management (OPARM), the FSIS centralized analytics group. The program is tasked with integrating and analyzing relational data, and it provides data visualization and analytics services to support FSIS decision‑making, policy development, risk management, and strategic planning.
Requirements / QualificationsApplicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education specified below. For the GS‑14 grade level: applicants must have one year of specialized experience (equivalent to the GS‑13 grade level) that demonstrates:
- Using Python or R in support of data analytics projects.
- Developing and executing approaches for analyzing, interpreting, visualizing, and verifying complex data and analyses.
- Leading projects by establishing objectives, assigning responsibilities, reviewing deliverables, and offering expert guidance on analytical programming, statistical techniques, and data visualization strategies.
- Developing oral and written presentations to communicate complex and technical analyses that inform, influence, and persuade a variety of audiences.
- Experience refers to paid and unpaid work, including volunteer work done through National Service programs (e.g., Peace Corps, Ameri Corps) and other organizations. Volunteer work builds critical competencies and can provide valuable training that translates directly to paid employment. Volunteers will receive credit for all qualifying experience.
The USDA Food Safety and Inspection Service (FSIS) is the public health regulatory agency responsible for ensuring the safety of meat, poultry, and processed eggs. USDA is a great place to start or continue your career. For more information on USDA and the Food Safety and Inspection Service, visit FSIS.
Seniority level- Mid‑Senior level
- Full‑time
- Engineering and Information Technology
- Government Administration
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