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Data Science Tech Lead

Score 50/1003d ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
backlogembeddingsfine-tuninglangchainlanggraphlightgbmllmxgboost
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Description
About the Role Opmed is a rapidly growing healthcare AI startup helping leading health systems optimize their operations. Our platform is already in use at major health systems and large networks such as Mayo Clinic and Geisinger, and we are backed by world-class funds including NFX and Grove. We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap — not just execute against a backlog. What you will do 1. Research Direction Set the technical research agenda for our tabular prediction models. Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data. Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy. Set standards for experimentation, evaluation, and model guardrails. 2. Client Project Delivery Own DS delivery end-to-end across concurrent client engagements - from discovery th
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