Staff Data Scientist - Decisioning & AI-Driven Optimization

Pivotal Health; Los Angeles (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Full health, dental, and vision

401(k)

Flexible time off

Company-wide events

Job summary

Pivotal Health is hiring a Staff Data Scientist, Decisioning in Los Angeles to improve production decisioning systems across pricing, offers, and routing. You’ll work at the intersection of data, experimentation, modeling, economics, and software to ship measurable improvements.

This role emphasizes AI-first workflows, practical production changes, and collaboration with engineers to deliver robust, scalable decisioning capabilities for healthcare reimbursement workflows.

Qualifications

• Advanced degree in a quantitative field and strong applied data science background.
• Experience turning data into measurable product impact in production systems.
• Proficiency in Python, SQL, and experimentation platforms.

Responsibilities

• Improve decisioning systems for pricing, offers, routing, and product outcomes.
• Design and run production experiments to validate changes.
• Build models, heuristics, and optimization logic for real-world impact.
• Translate business objectives into measurable decisioning with clear tradeoffs.
• Collaborate with engineers to deploy production-ready logic and interfaces.
• Develop feedback loops linking model behavior to business outcomes.

Skills

Applied data science

Experimentation

Optimization

Statistics

Python

Education

Advanced degree in CS/Math/Stats

Tools

Python

SQL

Experimentation tooling

Production ML systems

Job description

Pivotal Health is hiring a Staff Data Scientist, Decisioning in Los Angeles to improve production decisioning systems across pricing, offers, and routing. You’ll work at the intersection of data, experimentation, modeling, economics, and software to ship measurable improvements.

This role emphasizes AI-first workflows, practical production changes, and collaboration with engineers to deliver robust, scalable decisioning capabilities for healthcare reimbursement workflows.