United States onlyThe Data Scientist, AI Data Foundations, will design and build curated data structures for AI and ML applications, lead data discovery work, and champion responsible data use. This is a hands-on, build-oriented role that requires strong data science skills, hands-on experience with vector stores, feature stores, and graph databases, and strong communication skills.
Requirements
- 4–7 years of experience in a data science, ML engineering, or applied data role
- Hands-on experience designing and operating vector stores for RAG or semantic search
- Experience building or operating a feature store, including offline training and online serving patterns and point-in-time correctness
- Experience modeling and building graph data structures using Neo4j, TigerGraph, Azure Cosmos DB Gremlin, or similar graph databases
- Strong proficiency in Python and SQL, and comfortable working in Databricks notebooks and jobs
- Practical experience with embedding models and LLM tooling
Benefits
- Full medical, dental, and vision insurance
- 401(k) matching
- Generous parental leave
- Flexible PTO
- Professional development opportunities
