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Department of Transportation’s Office of Inspector General seeks a Supervisory Statistician to lead complex sampling designs and validate methodologies for audits and investigations. You will oversee QA processes, ensure documentation aligns with standards, and guide teams in analytic planning while communicating uncertainties clearly.
You will translate objectives into robust sampling strategies, supervise staff, and present technical material to leadership and auditees, fostering rigorous,
This position is for a Supervisory Statistician within the Office of Data Analytics (JD), Office of Inspector General (OIG), U.S. Department of Transportation (DOT). The Office of Data Analytics serves as the OIG's center for advanced analytical capabilities, providing data science, statistical analysis, and economic modeling expertise to support investigations, audits, and the OIG broadly.
All documents must be received and eligibility requirements must be met by the closing date of the announcement. Your resume must be well documented with the specialized experience, otherwise you may be deemed ineligible.
To meet the minimum qualifications for this position, you must meet the EDUCATION REQUIREMENT ANDSPECIALIZEDEXPERIENCEqualifications for the grade(s) at which you are requesting consideration.Applicants must meet qualifications, education requirement and time-in-grade requirements bytheclosing date of this vacancy announcement.
For GS-14:At least one year of specialized experience equivalent to theGS-13level in the Federal service performing (obtained in either the public or private sectors) listed below:
Education:Education cannot be substituted for experience at the GS-14 grade level.
Competencies:Your resume and short answer responses will be evaluated on the following competencies in addition to the specialized experience as stated above.
Core ability to design, validate, document, and communicate probability‑based sampling strategies and survey methods that meet audit objectives. Includes defensible design choices, projection methods, uncertainty communication, and creation of audit‑ready methodological documentation.
Oversight of the technical soundness, reproducibility, and GAGAS‑alignment of statistical work products. Includes reviewing staff and contractor deliverables, identifying methodological risks, issuing written confirmations/sign‑offs, and enforcing JD analytical standards.
Ability to guide audit teams’ analytic planning, translate audit objectives into fit‑for‑purpose methods, and provide expert advice on sampling strategies, estimation approaches, data visualization, and trade‑offs (rigor, timelines, evidentiary sufficiency). This competency reflects your “primary specialist” role on audits.
Skill in preparing methodological sections, technical appendices, visual displays, and plain‑language explanations of sampling results, assumptions, and uncertainty. Includes presenting and defending methods at entrance/exit conferences and ensuring analytical materials are usable by non‑technical audiences.
Skill in planning, assigning, reviewing work; mentoring staff; onboarding; and reinforcing JD standards. Also includes managing intake/workflow systems (e.g., trackers, Smartsheet), maintaining status reporting for leadership, and ensuring timely execution of audit support.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Note:A full year of work is considered to be 35-40 hours of work per week. Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.