Data Scientist (Internship)
Position Type: Part-time, W-2
SRG is offering a paid internship opportunity for future graduates interested in gaining hands-on experience as Data Scientist interns. Under the mentorship of the Lead Data Engineer, interns will support several development projects by integrating diverse data sources, APIs, and language model processing pipelines. Interns will contribute to backend development, including server-side logic, data transformation, and analysis, while helping optimize systems that power AI-driven decision support. This internship provides valuable exposure to real-world data science workflows and cutting-edge AI technologies in a collaborative environment.
Remote/Hybrid work with occasional in-person attendance.
Washington, D.C. Metro Area (Remote/Hybrid)
- Collaborate with the Lead Data Engineer to integrate structured and unstructured data sources (APIs, manual datasets, local files) into scalable processing workflows.
- Develop backend logic for secure data ingestion, feature engineering, and transformation using Python, Pandas, NumPy, and SQL.
- Implement and optimize API connectivity with federal datasets (e.g., Census, EPA, OpenWeather, BLS, etc.).
- Contribute to LLM data preparation and tuning pipelines, including integration with OpenAI, LlaMA, Dolphin, or Hugging Face Transformer models (local or cloud).
- Work within secure environments (including air-gapped systems) to preprocess data and support analytics workflows.
- Participate in technical team syncs to validate data flow logic, troubleshoot model outputs, and improve end-user data accessibility.
- Ensure adherence to data privacy, encryption, and access control protocols.
- Current students nearing graduation (undergraduate or graduate level in Computer Science, Data Science, or related fields)
- Recent graduates (within 0–2 years of completing their degree) in applied data science or backend-focused data engineering roles.
- Proficiency in Python 3.x, especially for data transformation, cleaning, and pipeline construction.
- Experience with SQL databases and structured query development (Azure SQL preferred).
- Familiarity with secure API integrations and working with RESTful endpoints.
- Strong background in data validation, feature engineering, and analytic preprocessing.
- Comfortable working in secure environments with strict access control and version discipline.
- U.S. Citizenship is required.
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