Staff Data Scientist

ABOUT PIVOTAL HEALTH Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. ABOUT THE ROLE We’re hiring a Staff Data Scientist, Decisioning to improve the systems that determine how Pivotal makes high-value decisions in core workflows. This role is for someone with a strong applied data science or optimization background who wants to work on real production systems, not just offline analysis. You’ll operate at the intersection of data, experimentation, modeling, economics, and software. The work may span areas like the offer engine, feedback loops for model and rule improvements, configurable decision systems, experimentation on operational workflows, and other products where better decision quality directly improves business outcomes. We’re especially interested in candidates who have worked on hard decisioning problems in environments like marketplaces, pricing and revenue optimization, lending and credit, ad tech, bidding systems, or other domains where experimentation, optimization, and operating constraints all matter at once. This