Help us fight fraud! SSA's 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.

Duties

Serves as a Data Analyst (Data Scientist) leading and coordinating the efforts of other agency professionals and contractors in solving complex and far-reaching data management issues and problems. Conducts statistical analyses and develops predictive models using statistical techniques, machine learning, and artificial intelligence (AI), using tools such as R, Python or SAS. Works with teams to develop data products and definitions. Use appropriate analytic and statistical software to programmatically prepare data for analysis and clean imperfect data. Conducts observational analyses using software and/or programming languages such as R, Python, or SQL to explore/group data, test hypotheses, predict outcomes, and inform decisions. Develops, integrates, and maintains data and extract, transform, and load (ETL) procedures that are logically sound, maintainable, sustainable, auditable, flexible, repeatable, and scalable on a variety of structured and unstructured data Translates complex concepts, findings, and limitations into concise, plain language. Serves as a resource and leader to Federal and contractor staff on implementing, managing, tracking, and evaluating large scale and extremely complex data analysis projects and their associated requirements and risks.

Requirements

• U.S. Citizenship required
• Selective Service Registration, if applicable (www.sss.gov)
• Fingerprinting and background and/or security investigation may be required
• Job offers are contingent on fingerprinting and background / security investigation results
• Selectees may be required to serve a 1 year probationary period
• Relocation expenses will not be paid
• All qualification requirements must be met by the closing date of the announcement
• This announcement serves as public notice. Applications submitted be placed into a pool and will remain on file for selection as positions become available.
• Vacancies may be filled for up to 6 months after the closing date of this announcement. Applicants may not receive notifications of referral status until the full 6-month eligibility period has elapsed.
• Applications may be gathered from additional recruitment sources. These will be added to the pool created by this announcement.

Qualifications

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.

Education

You must provide proof that shows you meet the Individual Occupational Requirement (IOR) as described above by uploading transcripts that shows the degree or courses that satisfy this requirement by 11:59pm 11/01/2024. Failure to upload proper transcripts will cause you to be found ineligible. Transcripts can be unofficial (you or your school will need to provide official transcripts before your start date) but your transcripts MUST have an award, confer, or graduation date.

Providing Proof of Education
For information on providing proof of education, visit https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

To satisfy the educational requirement, submit a copy of your transcripts that includes your name, the name of the educational institution, course title(s), number of credits, grade, and date of completion. Unofficial transcripts or screenshots of electronic/web transcripts with the required information will be accepted at the time of application. You must submit your transcripts according to the application submission details of this announcement. Documents will not be accepted via email or regular mail. If selected, you may be required to provide your official college transcripts prior to the effective date of the personnel action placing you into the new position.

Foreign Education: If your transcripts show education completed in foreign colleges or universities, you must also provide documentation that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in a conventional/accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.

Note: One year of full-time graduate education is considered to be the number of credit hours that the school you attended has determined to represent one year of study. If this information cannot be obtained from your school, we will consider 18 semester/27 quarter hours to be equal to one year of full-time study.

Contacts

• Address DCARO - OPI 6401 Security Boulevard Baltimore, MD 21235 US
• Name: OPE Staffing DCARO
• Email: [email protected]