This position is located in the Office of Inspector General - Office of Data Analytics and Technology - Data Analytics Directorate. The OIG is an independent office within EPA that helps the agency protect the environment in a more efficient and cost-effective manner. We consist of auditors, program analysts, investigators, and others with extensive expertise.
Although we are a part of EPA, Congress provides us with our funding separate from the agency, to ensure our independence.
As a Data Scientist (Direct Hire) GS-1560-09 your typical work assignments may include the following under supervision: At the direction of the Director or Team Lead and using established methods, create and model data analysis and statistical trends using data pipelines which includes data cleaning, feature engineering, design and implementation of machine learning models, including generative AI and agentic AI solutions, to support oversight projects and investigations in the Amazon Web Services (AWS) and Microsoft 365 (M365) environments.
At the direction of the Director or Team Lead and using established methods, create visualizations for data analysis and findings using business intelligence tools, Link Analysis tools, and Machine Learning (ML) services such as Microsoft PowerBI, ArcGIS Knowledge, ArcGIS Enterprise, and Amazon SageMaker.
At the direction of the Director or Team Lead, review and optimize SQL, Python, and R code related to (ML) models, queries, and database operations for efficient data access, processing, and reporting. Assists with technical documentation by creating data dictionaries, methodologies, and utilizing version control for traceability of the entire lifecycle of data and analytical models.
Support data validation, testing, and monitoring of data analyses that support audits, evaluations, and investigations and participate in code reviews, quality assurance, lessons learned, and ensure reproducibility of the analyses.
As a Data Scientist (Direct Hire) GS-1560-11 your typical work assignments may include the following under supervision: At the direction of the Director or Team Lead, create and model data analysis and statistical trends using data pipelines which includes data cleaning, feature engineering, design and implementation of machine learning models, including generative AI and agentic AI solutions, to support oversight projects and investigations in the Amazon Web Services (AWS) and Microsoft 365 (M365) environments.
At the direction of the Director or Team Lead, create visualizations for data analysis and findings using business intelligence tools, Link Analysis tools, and Machine Learning (ML) services such as Microsoft PowerBI, ArcGIS Knowledge, ArcGIS Enterprise, and Amazon SageMaker. At the direction of the Director or Team Lead, develop or optimize SQL, Python, and R code related to (ML) models, queries, and database operations for efficient data access, processing, and reporting.
Prepare and maintain technical documentation including data dictionaries and methodologies, and utilizes version control for traceability of the entire lifecycle of data and models. Support data validation, testing, and monitoring of data analyses that support audits, evaluations, and investigations and participate in code reviews, quality assurance, lessons learned, and ensure reproducibility of the analyses.
ARE YOU USING YOUR EDUCATION TO QUALIFY? You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement.
PASS/FAIL COURSES: If more than 10 percent of your undergraduate course work (credit hours) were taken on a pass/fail basis, your claim of superior academic achievement must be based upon class standing or membership in an honor society. 4 June 2025 GRADUATE EDUCATION: One academic year of graduate education is the number of credits hours your graduate school has determined to represent one academic year of full-time study.
Such study may have been performed on a full-time or part-time basis. If you cannot obtain your graduate school's definition of one year of graduate study, 18 semester hours (or 27 quarter hours) should be considered as satisfying the requirement for one year of full-time graduate study.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show 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 an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university.
For further information, visit: https://www.ed.gov/laws-and-policy/higher-education-laws-andpolicy/college-accreditation.
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Learn more about federal benefits.
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This position is with Environmental Protection Agency, Other Agencies and Independent Organizations.
The posted pay range is $70623 – $111087/yr.
This position is eligible for telework.
This position requires a Other security clearance.
Applications close on 2026-09-08.
This position is open under the 'Public' hiring path.
Source: USAJOBS.gov — U.S. Federal Government
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