Financial Data Scientist – Pricing Optimization (FIT)

Title: Financial Data Scientist – Pricing Optimization (FIT)

Location: Remote

About The Company

We are a national health services company with a diversified portfolio across insurance, care delivery, pharmacy services, and digital health. Our teams use data, technology, and clinical expertise to improve access, affordability, and outcomes for millions of people. Within our pharmacy and analytics division, we build business intelligence and analytics products that empower pharmaceutical clients with patient insights and predictive forecasting capabilities. We pair enterprise scale with a culture of practical innovation and measurable impact.

Job Summary

We are seeking a Financial Data Scientist to lead and enhance our Financial Impact Testing (FIT) pricing optimization platform. The ideal candidate has strong experience with Databricks, cloud technologies, scalable architectures, and price optimization frameworks. This role involves owning the FIT tool end-to-end, building predictive pricing models, designing scenario analyses, and translating outputs into financial insights—including P&L and contribution margin impacts.

Key Responsibilities

• FIT Platform Ownership: Serve as the technical and analytical owner of the FIT model; success means reliable performance and continuous improvement.
• Price Optimization Modeling: Build and refine pricing algorithms, elasticity models, and optimization scenarios; success is measurable financial impact and accuracy of projections.
• Data Engineering & Pipelines: Develop scalable data pipelines using Databricks and GCP; success is efficient processing of large datasets supporting pricing logic.
• Front-End Collaboration: Work with engineers on Angular-based UI enhancements; success is intuitive and performant user interfaces.
• Financial Translation: Convert pricing outputs into full P&L scenarios and business cases; success is clear, actionable insights for leadership.

Requirements

• Education: Bachelor’s or Master’s in Data Science, Computer Science, Economics, Finance, or related field.

• Experience: 6+ years in data science, pricing analytics, or financial modeling roles.

• Skills:

• Databricks (Spark)

• GCP

• Angular

• Price optimization, elasticity modeling

• Financial analysis including P&L and contribution margin

• Scenario modeling, systems thinking, market awareness

• Strong familiarity with financial services and healthcare markets

• Certifications: Cloud certifications (GCP) preferred but not required.

• Other: Ability to work independently and design long-term scalable systems.

Preferred Qualifications

• Experience with healthcare pricing strategy
• Experience building enterprise-scale analytical platforms
• Prior consulting or pricing strategy background

Benefits

• Competitive Salary
• Health & Wellness: Access to company health programs and tools
• Work-Life Balance: Fully remote with flexible scheduling
• Professional Development: Exposure to advanced pricing models and large-scale data engineering environments
• Additional Perks: Opportunity to own a mission-critical pricing platform with enterprise-level impact