Health Plan Data Scientist

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.

Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.

Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.

At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.

The Job

This role will be a key member of SCAN's Medical Economics Analytics team, responsible for identifying, quantifying, and helping capture total cost of care (TCOC) savings opportunities across the health plan's core medical cost management levers: clinical programs, utilization management (UM) and medical policy, payment integrity, network and contracting, benefit design, coordination of benefits (COB), and supplemental programs. The role combines strong health plan operations knowledge with data science methods and AI-enabled analytics tooling (GenAI, agentic workflows) to surface and size opportunities from claims, clinical, and contract data.

This role will collaborate with clinical, network, payment integrity, and finance stakeholders to convert analytic findings into t