Required Skills & Experience
- 5–6+ years of experience as a Data Scientist - 1–2 years of hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) - Strong Python skills, with the ability to integrate code into existing engineering frameworks and hand off to engineering for production deployment - Proficiency with GitHub and version control workflows - Experience with database structures and cloud computing (any provider is acceptable)
Nice to Have Skills & Experience
- Prior working experience with LangGraph
Job Description
You’ll work closely with two Principal Data Scientists and own a feature within a broader education technology initiative. Your tasks will be assigned via Jira by a project manager, and you’ll collaborate with engineering to push code into production. While you won’t be responsible for defining features, you’ll execute on them independently, relying on the Principal Data Scientist for guidance and feedback. Expect 1–2 scrums per week, formal data process reviews (but no formal code reviews), and a fast-paced environment focused on delivering RAG-based AI solutions that support clients.