Help us fight fraud! SSA's Office of Program Integrity is searching for several 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. STEM position(s) are being filled through the Office of Personnel Management's delegated Direct Hire Authority. Under the provisions of the DHA, Veterans Preference and the "Rule of Three" do not apply.

Duties

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. Designs, develops, and presents analytical models and methods for implementation, performs qualitative and quantitative analysis, and conducts research to support and further SSA’s program integrity initiatives. Performs advanced mathematical analyses, including building and evaluating predictive models to: 1) detect and prevent fraud in the agency’s programs; 2) measure and/or enhance program performance; and 3) increase operational efficiencies Develops, implements, and refines projects and mathematical/statistical studies of SSA programs and develops models to correct deficiencies or improve the efficiency of SSA's processes, operations, and... [Cont'd]... systems related to administering the anti-fraud program. Determines methods and approaches to gather and develop required data to complete studies. Analyzes study findings, develops recommendations, and prepares and presents confidential in-depth reports and position papers to management officials regarding analyses of problems. Participates in the development, construction, maintenance, and exploratory data analysis of large datasets as it applies to end product mathematical/statistical analyses. Designs models and methodologies well suited to the analysis of generally stated problems, ascertaining and defining validity of problems and developing appropriate criteria for evaluation in order to... [Cont'd]... achieve improved program operations and management systems. Collaborates with other SSA components to assure valid construction of sampling, statistical, and questionnaire techniques; optimal timing; and consistent execution of studies. Develops, reviews, and evaluates program integrity program management information. Applies best practices to develop and maintain reports on program integrity initiatives for executive-level audiences.

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

Qualifications

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. Qualification standards and additional information for this position can be found here: Mathematical Statistics Series 1529 (opm.gov) To qualify at the GS-11 level, applicants must have one of the following: At least 52 weeks of specialized experience at the GS-9 level, or equivalent, which is in or related to the work of the position to be filled and has equipped applicant with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Such experience must include reviewing and summarizing datasets using standard statistical or machine learning analytical techniques and processes. Experience must also include assisting with transforming data into a form suitable for analysis using R, Python, SAS, or SQL; OR drafting research reports, technical papers, guidelines, or instructions. A Ph.D. or equivalent doctoral degree OR have completed 3 full years of progressively higher level graduate education leading to such a degree in a field that provided the knowledge, skills, and abilities to do the work of the position. NOTE: Transcripts are required to substantiate claimed education. When combined, graduate education and experience totaling 100% of the above requirements. To qualify at the GS-12 level, applicants must have the following: At least 52 weeks of specialized experience at the GS-11 level, or equivalent, which is in or related to the work of the position to be filled and has equipped applicant with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Such experience must include reviewing and summarizing large datasets using 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; OR preparing research reports, technical papers, guidelines, or instructions for higher-level analysis. Additionally, applicants must meet the following Individual Occupational Requirement (IOR): A degree that included 24 semester hours of mathematics and statistics, of which at least 12 semester hours were in mathematics and 6 semester hours were in statistics. OR A combination of education and experience. Note: Courses must be equivalent to a major field of study and include at least 24 semester hours of mathematics and statistics, including at least 12 semester hours in mathematics and 6 semester hours in statistics as shown in option 1 above, plus appropriate experience or additional education. You must submit transcripts to substantiate any claimed education.

Education

Providing Proof of Education
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]