Data Scientist / Engineer, Healthcare Payment Integrity

Shift Technology

Data Scientist/Engineer developing AI solutions for healthcare payment integrity at Shift Technology. Collaborating on various data types and deploying state-of-the-art AI practices.

Posted 5/14/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Actively contribute to the US Health roadmap and clients, and work on various data types such as structured claims data, free text, documents, and images
Build and productionize data pipelines optimized for LLMs and multi-modal models
Design, develop and deploy LLM-based solutions for claims handling, document understanding, and related use cases
Experiment with Agentic AI technologies and develop MVP for the next generation of payment integrity solutions
Create custom tools for the agent, allowing it to query internal databases, call external weather APIs, or calculate impact force based on telemetry data
Establish rigorous evaluation frameworks to ensure the agent’s decisions are unbiased, legally sound, and explainable
Ensure responsible-AI practices: privacy, hallucination mitigation, explainability, and compliance
Lead client workshops, present prototypes, gather feedback and help define roadmap priorities

Requirements

What you’ll need

3+ years of Data Science and Healthcare Insurance Payment Integrity experience
Expert proficiency in production-level object-oriented programming (OOP) for building scalable and reliable systems
Proven hands-on experience with Large Language Models (LLMs) and generative AI techniques (including RAG, embeddings, prompt engineering, and model tuning)
Solid foundation in ML fundamentals with practical experience in the full machine learning lifecycle, including model evaluation, monitoring, versioning, and deployment in production environments
Experience designing and implementing robust data pipelines for document, OCR, and multi-modal data workflows
Experience with integrating frameworks like LangChain/LangGraph, OpenAI Agent SDK, CrewAI, A2A/MCP with Databricks or Azure-hosted models
Demonstrated ability to effectively engage with clients, translate complex business needs into clear, actionable technical solutions, and manage stakeholder expectations

Benefits

Comp & perks

Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

object-oriented programmingLarge Language Modelsgenerative AImachine learningdata pipelinesdocument workflowsOCRmodel evaluationmodel deploymentprompt engineering

Soft Skills

client engagementstakeholder managementcommunicationfeedback gatheringroadmap prioritization