Senior AI Data Scientist
Core
Design, build, and deploy production ML and LLM-powered capabilities for an enterprise AI platform, focusing on search, retrieval, recommendations, and AI agents.
Role type
Senior Applied AI Data Scientist
Builds
Enterprise AI platform features (search, retrieval, recommendations, AI agents)
Domain
Enterprise Software / Applied AI / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, experimentation, causal inference, predictive modeling, LLMs, embeddings, RAG, AI agents
Preferred skills
LLM-powered product evaluation, search/retrieval systems, A/B testing, vector databases, open-source ML contributions
Technologies
Foundation models, embeddings, RAG, vector databases
Responsibilities
Design and build ML systems for enterprise search and recommendations; Develop evaluation frameworks for LLM applications; Build scalable data and ML pipelines; Apply statistical modeling and causal inference; Collaborate with Product and Engineering to deploy features; Analyze product usage to improve AI adoption; Prototype and deploy new AI capabilities; Define KPIs for product strategy.
Seniority
Senior, hands-on IC
