Lead Data Scientist (Healthcare Pricing & Analytics)

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Position - Lead Data Scientist (Healthcare Pricing & Analytics)

Remote

Need on W2 (AI)

Overview

We are seeking a Lead Data Scientist to join a cross-functional squad focused on building analytics capabilities that support commercial sales strategy. This role will analyze large-scale healthcare pricing data and generate insights that inform competitive positioning in the market.

Key Responsibilities

• Analyze machine-readable healthcare pricing data (MRFs) to evaluate cost and pricing dynamics
• Compare internal pricing logic vs. external vendor tools (e.g., Milliman, Turquoise)
• Develop quantitative models and statistical analyses to assess pricing competitiveness
• Translate complex findings into clear, business-facing insights
• Partner with product, underwriting, and sales stakeholders to support strategic decision-making
• Build data pipelines, queries, and analytical frameworks in a cloud environment
• Create visualizations and prototypes to communicate insights (Tableau/Looker)
• Operate with a high degree of autonomy and ownership within a squad model

Required Skills

• Advanced SQL (must-have)Strong experience querying large datasets in cloud environments (Google Cloud Platform, AWS, etc.)
• Python (advanced proficiency)Data manipulation, analysis, and statistical modeling
• Experience with cloud data platforms (BigQuery, Snowflake, etc.)
• Strong understanding of data modeling, pricing analysis, or large-scale data comparisons
• Experience with data visualization tools (Tableau, Looker, etc.)
• Ability to communicate complex insights to non-technical stakeholders

Nice-to-Have

• Healthcare domain experience (payer, claims, pricing)
• Experience with statistical modeling or ML
• Exposure to pricing strategy, benchmarking, or market analysis

Soft Skills

• Strong communication and storytelling ability
• Ability to operate independently in ambiguous environments
• Collaborative mindset within cross-functional teams