Supervisory Program Analyst (Branch Chief)

Applicants must qualify for the series and grade of the posted position. Your resume must provide sufficient experience, knowledge, skills, abilities, and proficiency of any required competencies to perform the specific position for which you are applying. Your resume is the key means we have for evaluating your experience, education, knowledge, skills, abilities and competencies as they relate to this position. Your resume and supporting documents must specifically address the evaluation criteria for the position. Describe duties you perform (not just knowledge, skills and abilities) as they relate to the specialized experience required for this position. Be clear, accurate and specific when describing your experience; e.g., list all positions separately, include full start and stop dates for each position, your work schedule (number of hours per week), your grade (if your position is federal), and a comprehensive description of the relevant duties you performed in each position. If your application materials do not demonstrate the knowledge, skills, abilities, AND specialized experience needed for this position, your application will be ineligible for further consideration. To qualify for this GS-14 position, applicants must have 52 weeks of specialized experience at or equivalent to the Federal GS-13 level (or above) that is in or related to the work of the position to be filled and has equipped the applicant with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Such experience must include: A. leading or coordinating teams, technical projects, or workloads involving advanced statistics or machine learning (artificial intelligence); B. developing, refining, or managing studies involving large datasets and statistical or machine learning analytical techniques and processes; C. transforming unprocessed, incomplete, or unstructured data into a form suitable for analysis using R, Python, SAS, or SQL OR D. preparing research reports, technical papers, guidelines, or instructions for technical and non-technical audiences.
Help us fight fraud! SSAs Office of Program Integrity is searching for a supervisor to help SSA detect and prevent fraud. The supervisor will manage a team responsible for technical data analysis, research, and production-level analytics. The supervisor will apply analytical techniques and experience with statistical modeling, machine learning, and geospatial analysis when managing the team.