Shift Technology logo
Shift Technology

Automate and Optimize Insurance Decision Making with Artificial Intelligence

Data Scientist / Engineer, Healthcare Payment Integrity

Data ScientistData ScientistFull TimeRemoteSeniorTeam 201-500Since 2014H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

13 days ago

Salary

$120K - $130K / year

Seniority

Senior

Bachelor Degree3 yrs expEnglishAzure

Job Description

Data Scientist / Engineer, Healthcare Payment Integrity

Shift Technology

• 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

Job Requirements

  • 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

  • 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)

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