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Data Scientist

Environmental Protection Agency
Office of Inspector General - Office of Data, Analysis, and Technology - Data Analytics Directorate

Summary

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.

Overview

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Accepting applications
Location
1 vacancy in the following location:
Work site options
Telework eligible
Yes—as determined by the agency policy.
Remote job
No
Relocation expenses reimbursed
No
Salary
$70,623 - $111,087 per year
Pay scale & grade
GS 9 - 11
Promotion potential
13
Pay scale and grade determines the salary of the job.
Work schedule
Full-time
Travel Required
Not required
Appointment type
Permanent
Occupations and job series
Supervisory status
No
Federal service type
This job is in the Competitive Service
Represented by a union
No
Drug test
No
Security clearance
Other
Position sensitivity and risk
High Risk (HR)
Jobs require a background check and some require a security clearance. The type depends on the job.
Background check type
Financial disclosure required
No
Some jobs require financial disclosure to identify conflicts of interests.
Announcement number
EPA-OIG-ST-26-13007903
Control number
882960000

This job is open to

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Clarification from the agency

Current Federal employees with competitive status; Former Federal employees with reinstatement eligibility; CTAP/ICTAP eligibles; Veterans with VOW, VEOA, or 30% disability; Military Spouses. Those eligible under an OPM interchange agreement.

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Duties

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As a Data Scientist 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 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.

Requirements

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Conditions of employment

  • Must be a U.S. Citizen
  • Males born after 12-31-59 must be registered for Selective Service
  • Résumé and supporting documents (See How To Apply)
  • Suitability for Federal employment, as determined by a background investigation
  • May be required to successfully complete a probationary period

Qualifications

BASIC REQUIREMENTS FOR DATA SCIENTIST: You must have either A or B:

  1. Degree: 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.

    or

  2. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

In addition to the basic requirements:
You may qualify for the GS-09 grade level, if you possess at least one year of specialized experience equivalent to the GS-07 grade level in the federal sector, or the equivalent in the private sector. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position. For this position your specialized experience must demonstrate the following:

  • Creating and modeling 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 projects in Amazon Web Services (AWS) and Microsoft 365 (M365) environments;
  • Creating 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;
  • Developing or optimizing SQL, Python, and R code related to (ML) models, queries, or database operations for efficient data access, processing, and reporting; and
  • Assisting with technical documentation by creating data dictionaries, methodologies, and utilizing version control for traceability of the entire lifecycle of data and analytical models.

You may qualify for the GS-11 grade level, if you possess at least one year of specialized experience equivalent to the GS-09 grade level in the federal sector, or the equivalent in the private sector. Specialized experience is experience that has equipped the candidate with the particular knowledge, skills, and abilities to perform successfully the duties of the position. For this position your specialized experience must demonstrate the following:

  • Creating and modeling 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 projects in Amazon Web Services (AWS) and Microsoft 365 (M365) environments;
  • Creating 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;
  • Developing or optimizing SQL, Python, and R code related to (ML) models, queries, and database operations for efficient data access, processing, and reporting;
  • Preparing and maintaining technical documentation including data dictionaries, methodologies, and utilize version control of code for traceability of the entire lifecycle of data used and models produced

Evidence of the above specialized experience must be supported by detailed documentation of duties performed in positions held. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. We will not make assumptions regarding your experience or based on job titles alone. If your resume does not support your questionnaire answers, we will not allow credit for your response(s).

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; religious; 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.

Applicants must meet the qualifications for this position within thirty (30) days of the closing date of this announcement.

Education

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.

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.

Additional information

Selectees will be required to complete a "Declaration of Federal Employment", (OF-306), prior to appointment and the appropriate background investigation forms to determine suitability for Federal employment. False statements or responses on these forms can jeopardize your employment opportunity and subject you to disciplinary action, including removal from Federal service.

The selectee will be required to complete a Personal Identity Verification (PIV) process that requires two forms of identification from the I-9 Form. We will compare information provided on the I-9 Form to records available from the U.S. Department of Homeland Security. The system confirms employee's identity and eligibility to work in the United States. Learn more about e-verify, including your rights and responsibilities.

You must meet time in grade requirements within 30 days of the closing date of this announcement.

EPA OIG provides reasonable accommodations to applicants with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application or hiring process, please contact the Human Resources Specialist listed in this vacancy announcement.

Payment of relocation expenses is NOT authorized.

All the information you provide will be verified by a review of the work experience and/or education as shown on your application, by checking reference and through other means, such as the interview process. Any exaggeration of your experience, false statements, or attempts to conceal information may be grounds for not hiring you or for firing you after you begin work.

Additional selections may be made through this vacancy announcement.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

All applicants: Your application will be reviewed in three phases to determine how you move forward in the hiring process.

Phase I: Your resume will be reviewed to determine your technical qualifications for this position based on the required specialized experience. ONLY two (2) pages of your resume will be reviewed. Additional information beyond your resume (e.g., cover letter, links embedded in your resume) will not be reviewed.

Applicants passing "Phase I" will move on to the "Phase II" of the assessment process where your application will be reviewed and rated based on the competencies listed in the vacancy announcement by a Subject Matter Expert (SME). Your qualifications will be evaluated based on your application materials (e.g., resume, supporting documents). Applicants who do not respond to the application questions may be rated ineligible.

Applicants passing "Phase II" of the assessment process will be invited to participate in a structured interview, as part of "Phase III". A SME panel will conduct the structured interview and assign a score for each of the required competencies listed below, based on your responses to the interview questions.

You will be assessed on the following competencies:

  • Data Literacy and Analysis
  • Data Management
  • Statistical Techniques
  • Data Visualization
  • Analytical Capabilities
  • Coding and Scripting
  • Technical Documentation
  • Quality Assurance

If you are referred for consideration, you may be subject to additional assessments by the selecting official (e.g., technical writing sample or other work sample, job knowledge test, case scenario analysis, scientific data assessment, structured interview, etc.).

NOTE: If you exaggerate or falsify your experience, education and/or your responses to questions, your ratings are subject to change, or you may be removed from employment consideration.

Applicants who apply under this job opportunity announcement agree to have their application, associated documents and applicable personal information shared with other Offices within the OIG community who have vacancies with the same occupational series, grade, full performance level and in the same geographic location(s). Applying to this announcement does not replace the need to apply to other job opportunity announcements for which you wish to receive consideration. You may choose to opt in of having your information shared with other agencies when applying for this position. If an agency requests a copy of a certificate, you are on, you will be notified.

Environmental Protection Agency

Agency contact information

EPA OIG Recruiting
Email
EPA_OIG_Recruiting@epa.gov
Address
Office of Data Analytics and Technology - Data Analytics Directorate
1200 Pennsylvania Ave, NW
Washington, DC 20460
US

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https://www.epa.gov/office-inspector-general

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