Data Scientist Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist Engineer (Healthcare AI): Building and productionizing AI-driven payment integrity solutions for insurers with an accent on LLMs, multi-modal data pipelines, and agentic AI. Focus on designing RAG-based systems, creating evaluation frameworks for AI agents, and translating complex business needs into technical implementations.
Location: Remote (US)
Salary: $120,000 - $130,000 USD
Company
AI company providing insurance-grade AI agents to transform insurer workflows through a SaaS platform.
What you will do
- Build and productionize data pipelines for structured and multi-modal data optimized for LLMs.
- Design and deploy LLM-based solutions using RAG, embeddings, and instruction tuning.
- Experiment with agentic AI technologies (LangChain, LangGraph, MCP) to develop next-gen payment integrity MVPs.
- Create custom tools for AI agents to query internal databases and external APIs.
- Establish rigorous evaluation frameworks (LLM-as-a-judge) to ensure unbiased and explainable decisions.
- Lead client workshops to present prototypes and define roadmap priorities.
Requirements
- 3+ years of Data Science experience in Healthcare Insurance Payment Integrity.
- Expert proficiency in object-oriented programming (OOP) for scalable systems.
- Hands-on experience with LLMs, generative AI, RAG, and prompt engineering.
- Experience implementing data pipelines for OCR and multi-modal data workflows.
- Proficiency with agentic frameworks (LangChain, OpenAI Agent SDK) integrated with Databricks or Azure.
- Must be based in the US.
Nice to have
- Deep expertise in the Databricks Ecosystem (Mosaic AI, Unity Catalog, Delta Lake).
- Knowledge of Spark data architecture.
- Experience using MLflow for experiment tracking and model evaluation.
Culture & Benefits
- Flexible remote and hybrid working options.
- Competitive salary with variable performance-based components.
- Learning and Development opportunities, including "Focus Fridays" for personal growth.
- Generous PTO and paid holidays.
- Mental health benefits and paid volunteering days (MAD Days).
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