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Data Scientist/AI Intern

Department of Agriculture
National Agricultural Statistics Service

Summary

Make an impact while you learn. The Semester of Service Program offers students a volunteer project-based opportunity to support real Federal missions, gaining hands-on experience and valuable career-ready skills. Students must be enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution.

With this project, you'll support a data science based project.

Overview

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Accepting applications
Posted this week · Apply by 06/24/26
Due by 11:59 p.m. ET on June 24, 2026
Location
2 vacancies in the following location:
Work site options
Telework eligible
Not applicable, this is a remote position.
Remote job
Yes
Relocation expenses reimbursed
No
Salary
$0 - $0 without compensation
Pay scale & grade
GS 00
Promotion potential
None
Pay scale and grade determines the salary of the job.
Work schedule
Part-time
Travel Required
Not required
Appointment type
Internships
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
Non-sensitive (NS)/Low Risk
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
SOS-12988338-26-KMT
Control number
873379100

This job is open to

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Clarification from the agency

Students who are enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution.

Duties

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  • The duties of this internship may include, but are not limited to:
  • Create well-documented prototypes that replicate small, non-production modules from legacy SAS workflows (e.g., simple edit checks or summary routines) in Python/R, plus unit edits checks or summary routines.
  • Help understand and replicate small, simple modules from legacy SAS workflows using Python or R.
  • Write clear and well-documented code to ensure it is easy for others to read and maintain.
  • Create unit tests for the new Python or R code to ensure it works correctly and matches the output of the original SAS code.
  • Use synthetic or de-identified sample data to demonstrate that the new code produces the same results as the legacy code
  • Contribute to discussions on code modernization by providing detailed documentation and reference implementations.

Requirements

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Conditions of employment

  • Must be a U.S. Citizen or U.S National studying in the U.S. or abroad. International students on valid visas may participate if they meet applicable immigration, visa, and agency authorities.
  • Be enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution
  • Must be in good academic standing as defined by their academic institution
  • Commit to volunteering 8 – 20 hours per week for a minimum of 90 days.
  • Complete all required onboarding documentation assigned by the Federal agency and your academic institution.
  • Agree to volunteer. This position is unpaid. No compensation, stipends, or hiring preference will be granted from this work. You may use this volunteer experience to qualify for future jobs you choose to apply for.
  • Agree to understanding volunteers are not Federal employees.

Qualifications

Applicants will be considered based on their knowledge, skills or abilities related to project needs. Specifically, applicants should have experience in:

  • Python
  • R
  • Git
  • SAS
  • Basic statistics
  • Data Processing

Education

To qualify, you must be enrolled not less than half-time in an accredited trade school, technical or vocational institute, junior college, college, university, or other accredited educational institution. You also must be in good academic standing as defined by your institution. Attach a copy of your transcripts to your application package for verification.

Additional information

Student volunteers must complete all required safety training, background checks, and comply with agency security protocols.

Participation must be with the permission of the institution at which the volunteer intern is enrolled.

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.

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.

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

Applicants are encouraged to address their education, experience, and motivation for applying for this opportunity with the Department of Agriculture on their resume. Experience is defined as paid, unpaid, volunteer or other experiences as it demonstrates the knowledge, skills or abilities related to project needs in this announcement. You will be evaluated for this opportunity based on how well you meet the qualifications above.

National Agricultural Statistics Service

Agency contact information

Kristin Tudja
Phone
3015041528
Email
kristin.tudja@usda.gov
Address
National Agricultural Statistics Service
1400 Independence Avenue, SW
Washington, DC 20250
US

Visit our careers page

Learn more about what it's like to work at National Agricultural Statistics Service, what the agency does, and about the types of careers this agency offers.

https://www.nass.usda.gov/

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