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Head of Healthcare Data Science

Job not on LinkedIn

đŸ”„ 0 minutes ago

đŸ‡ș🇾 United States – Remote

đŸ’” $160k - $200k / year

⏰ Full Time

🔮 Lead

📊 Data Scientist

🩅 H1B Visa Sponsor

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Shift Technology

201 - 500 employees

Founded 2014

đŸ€– 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

đŸ–ïž 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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