Data Scientist - Data Engineer (Direct Hire)
Careers | Office of the Inspector General
About the role
STEM position(s) are being filled through the Office of Personnel Management's delegated Direct Hire Authority, open to all U.S. citizens. Selections made under this bulletin will be processed as new appointments to the civil service. Current civil service employees would, therefore, be given new appointments to the civil service. Under the provisions of the Direct Hire Authority, Veterans Preference and the "Rule of Many" do not apply.Qualifications:
Resumes exceeding two pages in length will not be considered, please visit the new resume guidance for more information.
Applicants 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. The specialized experience required is: (1) Writing, optimizing, and troubleshooting complex SQL queries for data extraction, transformation, and loading (ETL); AND (2) Developing Python scripts for feature engineering, data processing, and workflow orchestration; AND (3) Implementing data validation, cleansing, and quality checks throughout the pipeline; AND (4) Optimizing code developed by Data Scientists for computing speed and code uniformity. ALL of the specialized experience is REQUIRED and must be explicitly documented/described in your resume, or you will be disqualified from further consideration.
IN ADDITION TO THE ABOVE REQUIREMENTS, APPLICANTS MUST ALSO MEET THE individual occupational requirement (IOR), which states that applicants must have ONE of the following: • (a.) A degree in one of the following: 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. NOTE: Transcripts are required to substantiate claimed education. • OR • (b.) A combination of education and experience: have completed courses equivalent to a major field of study (30 semester hours): mathematics, statistics, computer science, data science or field directly related to the position, plus additional education or appropriate experience. Individual Occupational Requirements must be met, even if you currently hold, or have previously held, a position in this series in the federal government. 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 04/03/2026. 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 individual occupational requirement (IOR)
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.Employment Type: OTHER
Requirements
- A degree in one of the following: Mathematics, statistics, computer science, data science or field directly related to the position
- A combination of education and experience: have completed courses equivalent to a major field of study (30 semester hours): mathematics, statistics, computer science, data science or field directly related to the position, plus additional education or appropriate experience
Responsibilities
- Writing, optimizing, and troubleshooting complex SQL queries for data extraction, transformation, and loading (ETL)
- Developing Python scripts for feature engineering, data processing, and workflow orchestration
- Implementing data validation, cleansing, and quality checks throughout the pipeline
- Optimizing code developed by Data Scientists for computing speed and code uniformity
Benefits
Skills
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