2026-7839 Data Scientist-Mid (Midshift)

The ideal Mid-Level Data Scientist delivers solutions for insurance business problems using foundation models and data science fundamentals. They take initiative, own their work with periodic guidance, and proactively communicate progress, blockers, and decisions with team and leadership. They demonstrate growing systems thinking skills-understanding component interactions, measuring system performance, and identifying improvement opportunities. They work in Azure/Databricks using Python with git version control and produce maintainable code with clear documentation.

Responsibilities:

• Collaborate with scientists, engineers, product owners, and business customers to translate business problems into technical solutions
• Deliver solutions for data extraction, classification, routing, search, and decision-making using foundation models with guidance on approach
• Manipulate and analyze data programmatically, derive statistically sound insights, and communicate findings that address technical and business considerations
• Engineer and evaluate foundation model prompts systematically across domain datasets
• Implement evaluation frameworks using precision, recall, F-1 scores, accuracy, and operational metrics with guidance
• Contribute to documentation and support junior team members as peer collaborator
• Break down well-scoped problems into measurable components and identify trade-offs between approaches