Data Scientist / Engineer, Healthcare Payment Integrity

This is a fully remote position, open to applicants in United States.

📋 Description

• Contribute actively to the US Health roadmap and engage with clients, working with a variety of data types including structured claims data, free text, documents, and images.

• Develop and optimize data pipelines tailored for LLMs and multi-modal models.

• Design, create, and implement solutions based on LLMs for claims processing, document comprehension, and associated use cases.

• Explore Agentic AI technologies and produce a minimum viable product for next-generation payment integrity solutions.

• Develop custom tools for the agent that enable querying of internal databases, accessing external weather APIs, or calculating impact force from telemetry data.

• Establish stringent evaluation frameworks to guarantee that the agent’s decisions are unbiased, legally compliant, and easily explainable.

• Uphold responsible AI practices, including privacy considerations, hallucination mitigation, explainability, and adherence to compliance standards.

• Facilitate client workshops, present prototypes, gather feedback, and assist in defining roadmap priorities.

⛳️ Requirements

• A minimum of 3 years of experience in Data Science and Healthcare Insurance Payment Integrity.

• Expert-level proficiency in production-grade object-oriented programming (OOP) for constructing scalable and dependable systems.

• Demonstrated hands-on experience with Large Language Models (LLMs) and generative AI methods (including RAG, embeddings, prompt engineering, and model tuning).

• Strong foundation in machine learning principles with practical experience across the complete machine learning lifecycle, encompassing model evaluation, monitoring, versioning, and deployment in production settings.

• Experience in designing and executing robust data pipelines for document processing, OCR, and multi-modal data workflows.

• Familiarity with integrating frameworks such as LangChain/LangGraph, OpenAI Agent SDK, CrewAI, and A2A/MCP with Databricks or Azure-hosted models.

• Proven ability to engage effectively with clients, translating complex business requirements into clear, actionable technical solutions while managing stakeholder expectations.

🏝️ Benefits

• Flexible remote and hybrid work options.

• Competitive salary with a variable component linked to individual and company performance.

• Numerous learning and development opportunities, including Focus Fridays, a half-day each month dedicated to learning and personal growth.

• Generous paid time off (PTO) and paid holidays.

• Mental health benefits.

• Two Make A Difference (MAD) Days per year for paid volunteering.