Head of Healthcare Data Science

Job not on LinkedIn

🕒 2 days ago

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Shift Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

💰 $220M Series D on 2021-11

Artificial Intelligence • Insurance • SaaS

Shift Technology is a company that specializes in AI-driven solutions for the insurance industry. They offer a variety of products designed to optimize critical insurance decisions, with a focus on fraud detection, risk detection, and claims management. Leveraging deep insurance expertise and advanced artificial intelligence technology, Shift Technology helps major insurance providers across the globe improve decision-making accuracy and efficiency. Their solutions are highly reliable, secure, and capable of providing clear explanations for each decision made, supporting compliance efforts in areas like AML/KYC. Trusted by some of the top insurers worldwide, Shift Technology has established itself as a leader in the field of AI for insurance.

📋 Description

• Own and execute the technical and strategic roadmap for the US Health payment integrity division • Champion the design and productization of robust data pipelines optimized for LLMs • Establish and oversee rigorous evaluation frameworks for unbiased agentic decisions • Mentor, grow, and empower senior and junior data scientists • Lead high-impact client workshops and present cutting-edge prototypes • Maintain a modular, agile product strategy for seamless integration and swapping of capabilities

🎯 Requirements

• 7+ years of Data Science experience with a proven track record of leading teams of 7+ members for the past 5+ years • Deep understanding of Healthcare Insurance Payment Integrity / Fraud, Waste, and Abuse (FWA) • Proven hands-on experience designing and scaling production-level Large Language Models (LLMs), RAG systems, and autonomous multi-modal agent workflows • Strong background in object-oriented programming (OOP) and machine learning fundamentals • Deep understanding of the full ML lifecycle (monitoring, versioning, and deployment) • Strategic Databricks & ML flow Mastery, familiar with managing enterprise AI environments utilizing Mosaic AI, Unity Catalog, Delta Lake, and leveraging MLflow for end-to-end experiment tracking and prompt engineering • A demonstrated ability to co-create products alongside clients, manage complex stakeholder expectations, and act as a bridge between technical execution and commercial business needs

🏖️ 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)