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Data Scientist

General Services Administration
Federal Acquisition Service

Summary

As a Data Scientist, you will serve as a subject matter expert and advisor in the highly technical and specialized area of data science.

Location of position:  Office of Acquisition Solutions Development (ASD) within Federal Acquisition Service (FAS)

We are currently filling two vacancies, but additional vacancies may be filled as needed.

Overview

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Accepting applications
Posted this week · Apply in 2 days
Due by 11:59 p.m. ET on June 16, 2026
This job will close when we have received 150 applications which may be sooner than the closing date. Learn more
Location
2 vacancies in the following locations:
Work site options
Telework eligible
Yes—This position is full-time in the office. In rare instances, situational telework may be approved on a case-by-case basis.
Remote job
No
Relocation expenses reimbursed
No
Salary
$108,019 - $172,980 per year

If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected.

Pay scale & grade
GS 13
Promotion potential
13
Pay scale and grade determines the salary of the job.
Work schedule
Full-time
Travel Required
Occasional travel - Occasional travel might be required to attend training and or conferences.
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
Not Required
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
Yes - You will be required to fill out the OGE-450 within 30 days of appointment and then annually thereafter.
Some jobs require financial disclosure to identify conflicts of interests.
Announcement number
FC-2026-0008
Control number
872379500

Duties

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  • Serves as an expert Data Scientist leading the development, management, control, coordination, and execution of assigned data science requirements, which requires technical expertise across the data life cycle (e.g., data collection, ingestion, storage, modeling, access, integration, analysis, and decision support).
  • Applies advanced programmatic techniques and statistical methodologies using analytic software to strategically prepare, cleanse, and engineer features from complex and often imperfect datasets, establishing best practices for data quality and readiness.
  • Responsible for aggregating, collating, and analyzing data from associated databases, including, but not limited to the development, implementation, and updating of data extraction queries, data mining and developing strategies, action plans, data mart and data queries modification and maintenance, and quality control and validation of collected data.
  • Provides ongoing consultation and instruction to organizational functional area users on information systems, databases, and data accessing techniques, search and query strategies, processing and storage utilization efficiencies, database testing, and data privacy protection procedures.
  • Designs presentations and interpretations of analytical outputs tailored to specific audiences including the use of interactivity and narrative storytelling with data where appropriate.

Requirements

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Conditions of employment

  • US Citizens and National (Residents of American Samoa and Swains Island)
  • Meet all eligibility criteria within 30 days of the closing date
  • Register with Selective Service if you are a male born after 12/31/1959

If selected, you must meet the following conditions:

  • Current or Former Political Appointees: The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C or Non­Career SES employee in the Executive Branch, you must disclose this information to the HR Office. Failure to disclose this information could result in disciplinary action including removal from Federal Service.
  • Serve a one year probationary period, if required.
  • Undergo and pass a background investigation (Tier 4 investigation level).
  • Have your identity and work status eligibility verified if you are not a GSA employee.  We will use the Department of Homeland Security’s e-Verify system for this. Any discrepancies must be resolved as a condition of continued employment.
  • Complete a financial disclosure report to verify that no conflict, or an appearance of conflict, exists between your financial interest and this position.

Qualifications

For each job on your resume, provide:

  • the exact dates you held  each job (from month/year to month/year)
  • number of hours per week you worked (if part time).    

If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume.

The GS-13salary range starts at $108,019per year. 

If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected. 

All candidates for Data Scientist positions must meet one of the following basic qualification requirements:

A. 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

B. 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 meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-12 level in Federal service. Specialized experience is defined as:

  • Developing and Constructing data pipelines using Structured Query Language (SQL) and scaling techniques;

  • Applying advanced statistical techniques and programming languages such as R, Python, or SQL to explore/group data, test hypotheses, and predict outcomes; and

  • Utilizing machine learning and artificial intelligence to extract insights from vast, varied, and intricate datasets.

This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.  

Education

Note: If you are using foreign education to meet qualification requirements, you must send a Certificate of Foreign Equivalency with your transcript in order to receive credit for that education. For further information, visit:   https://sites.ed.gov/international/recognition-of-foreign-qualifications/ 

Additional information

Candidates will not be hired based on their race, sex, color, religion, or national origin.

Applicants are encouraged to make their resume searchable in their USAJOBS.gov profile. This will allow Federal hiring specialists and hiring managers across agencies to find their resume as part of agency recruitment campaigns or staffing searches.

If you apply to this position and are selected, we will not ask about your criminal history before you receive a conditional job offer. If you believe you were asked about your criminal history improperly, contact the agency or visit GSA's webpage.

Relocation-related expenses are not approved and will be your responsibility.  

On a case-by-case basis, the following incentives may be approved:

·       Recruitment incentive if you are new to the federal government

·       Relocation incentive if you are a current federal employee

·       Credit toward vacation leave if you are new to the federal government

Additional vacancies may be filled through this announcement in this or other GSA organizations within the same commuting area as needed; through other means; or not at all.

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.

A panel of Subject Matter Experts (SMEs) will review the resumes of qualified candidates and assign a score for each of the five required Knowledge, Skills, and Abilities (KSAs) based on the experience documented in the resume and narrative responses:

  1. Expert professional knowledge of computer science and mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for modeling, interpret, and/or report quantitative information, trends, relationships and correlations among or within data sets.
  2. Skill in methods of exploratory data analysis to select appropriate models and identify when data is insufficient to reach conclusions.
  3. Ability to create and implement data collection and analysis tools utilizing programming languages and environments (e.g., R, Python, SQL, Scala, Java) to support data extraction, mining, validation and analysis.
  4. Skill in providing technical consultation and instruction to non-technical users on effective data accessing techniques, search strategies, utilization efficiencies, and data privacy procedures.
  5. Knowledge of and skill in applying related skills in written and verbal communication and development and conduct of presentations.

Demonstration of these KSAs must be supported by your resume. Applicants should also make note of each KSA, as you will be asked to address them later in the application process

Your possession of the KSAs will place you in one of the following categories:.

  • Best Qualified = 4+ out of 5 KSAs  
  • Well Qualified = 3 out of 5 KSAs (Well Qualified for CTAP/ICTAP) 
  • Qualified = 2 or less out of 5 KSAs.

If you are eligible under the Interagency Career Transition Assistance Plan (ICTAP) or GSA’s Career Transition Assistance Plan (CTAP), your resume must clearly demonstrate experience in at least 3 of the 5 required Knowledge, Skills, and Abilities (KSAs) to receive priority consideration.


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Federal Acquisition Service

Agency contact information

Elvis Zdionica
Phone
607-972-4223
Fax
000-000-0000
Email
Elvis.Zdionica@gsa.gov
Address
GSA, Federal Acquisition Service
Servicing HR Office:
GSA, Office of Human Resources Management (OHRM)
1800 F Street, NW
Washington, District of Columbia 20405
United States

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