Data Analyst – Direct Hire Authority (DHA)

This position has an Individual Occupational Requirement (IOR), to meet this requirement you must have: Basic Requirements: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. Qualification standards and additional information for this position can be found here: OPM Statistics Series 1529 In addition to the Individual Occupational Requirement (IOR)listed above, applicants must meet the minimum qualifications Qualification standards and additional information for this position can be found here: OPM Statistics Series 1560 To qualify for the GS-14: the applicant must have 52 weeks of specialized experience at the GS-13 level, or equivalent, which is in or related to the work of the position to be filled, that has equipped you with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Such experience must include providing technical expertise and direction in developing and refining studies involving large datasets and statistical or machine learning analytical techniques and processes. Experience must also include transforming unprocessed, incomplete, or unstructured data into a form suitable for analysis using R, Python, SAS, or SQL; AND preparing research reports, technical papers, guidelines, or instructions for technical and non-technical audiences. Duties of this nature should be typical of your everyday work. If you perform this kind of work, your resume must provide details of the actual duties you perform that demonstrate the requirements above. Reviewers cannot assume you perform duties you don’t describe.
Help us fight fraud! SSAs Office of Program Integrity is searching for two new hires to help SSA detect and prevent fraud by performing data analysis and research using a variety of analytical techniques such as statistical modeling, machine learning, and/or geospatial analysis.