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.

Duties

At GS-12: 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 systems related to [CONT] 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 achieve [CONT] 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. At GS13: Designs, develops, and presents analytical models and methods for implementation, performs qualitative and quantitative analysis, and conducts research to support and further SSA’s anti-fraud 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; [CONT] and 3) increase operational efficiencies Develops, implements, and refine projects and mathematical/statistical studies of SSA programs and develops models to correct deficiencies or improve the efficiency of SSA's processes, operations, and 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. Reviews and evaluates anti-fraud initiatives to improve targeting of resources and/or quality of operations; develops and applies advanced statistical profiling techniques to ensure potential for or achievement of desired results. Provides technical guidance to lower-graded analyst(s), including consultative advice and technical direction to specialists in the use of computer and mathematical/ statistical methodology

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: 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 B. Combination of education and experience -- at least 24 semester hours of mathematics and statistics, including at least 12 hours in mathematics and 6 hours in statistics, as shown in A above, plus appropriate experience or additional education. In addition to the Individual Occupational Requirement (IOR)listed above, applicants must meet the minimum qualifications for the grade(s) they are applying to: Qualification standards and additional information for this position can be found here: OPM Statistics Series 1529 To qualify at the GS-11 level, you must have one of the following: At least 52 weeks of specialized experience at the GS-9, or equivalent, which is in or related to the work of the position to be filled which has equipped me with the particular knowledge, skills, and abilities to successfully perform the duties of the position. Such experience 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 or technical papers.; OR A Ph.D. or equivalent doctoral degree, if related. NOTE: Transcripts are required to substantiate education.; OR Completed 3 full years of progressively higher level graduate education leading to such a degree, if related. NOTE: Transcripts are required to substantiate education.; OR When combined, graduate education and experience total 100% of the requirements. To qualify for the GS-12: The applicant must have 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, that has equipped you 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 preparing research reports, technical papers, guidelines, or instructions. To qualify for the GS-13: the applicant must have 52 weeks of specialized experience at the GS-12 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 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; OR 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

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/mathematical-statistics-series-1529/

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 will 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]