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Data Scientist/AI - National Agricultural Statistics Service
Data Scientist
Internship focused on building data‑science solutions for federal agricultural missions, leveraging Python, machine learning, and cloud analytics to deliver actionable insights.
About the role
Key Responsibilities
- Develop and deploy predictive models using Python and machine learning libraries.
- Clean, transform, and analyze large agricultural datasets with SQL and Pandas.
- Collaborate with cross‑functional teams to define project scope and deliverables.
- Document model assumptions, performance metrics, and results for stakeholders.
- Assist in maintaining data pipelines and cloud infrastructure on AWS.
Requirements
- Current enrollment in a recognized educational institution (college, university, or technical school).
- Strong programming skills in Python and experience with machine learning frameworks.
- Proficiency in SQL and relational database concepts.
- Familiarity with cloud services, preferably AWS.
- Excellent communication and teamwork abilities.
Skills
pythonmachine learningdata analysissqlaws