[Remote] Data Scientist/AI Intern
Note: The job is a remote job and is open to candidates in USA. USAJOBS is seeking a Data Scientist/AI Intern to support real Federal missions through a project-based opportunity. The role involves creating prototypes, replicating workflows, and writing well-documented code using Python and R.
Responsibilities
- 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
Skills
- 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
- Agree to understanding volunteers are not Federal employees
- Experience in Python
- Experience in R
- Experience in Git
- Experience in SAS
- Basic statistics knowledge
- Data Processing experience
- 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
Benefits
- Student volunteers are not considered Federal employees for any purpose other than injury compensation and laws related to the Federal Tort Claims Act, and service is not creditable for leave accrual or other employee benefits.
Company Overview