Brandon Castaing

About Brandon Castaing

Full-stack, patented data scientist with 10+ years architecting optimization, machine learning, and reinforcement learning systems that translate marketplace economics into scalable production platforms. Deep expertise in multi-objective optimization, causal inference, experimentation design, and bandit/RL-based decisioning under real-world constraints.At GoodRx, serve as Tech Lead & Architect for enterprise pricing and decision automation systems operating at 10k+ QPS and serving millions of customers daily. Own end-to-end system design—from modeling and constrained optimization to low-latency inference and experimentation infrastructure—powering automated pricing across multiple business programs and continuously reducing prescription costs at scale.Beyond work, I enjoy exploring the outdoors, mentorship (having presented and instructed at 9+ Data Science outreach programs including Purdue, UC Berkeley, MIT, and Georgia Tech), innovation (serial innovater with 6+ recognized data feats across public/private sectors), and am an alumni of the University of California, Berkeley with a Master of Information and Data Science (MIDS). Learning is living!

Experience

1. Principal Data Scientist

   GoodRx

   Feb 2026 — Present · Bellevue, WA, US

   for measurable revenue growth, margin expansion, and capital efficiency through enterprise-wide data science strategy with direct P&L ownership across 7 technology functions and 5 business programs. Serve as Tech Lead & Architect for a 16-engineer cross-functional team building high-throughput (10k+ QPS) pricing and decision automation systems serving millions of customers daily, improving access, affordability, and precision decisioning at scale.Set long-term technical vision and standards across optimization, machine learning, and reinforcement learning, including multi-objective optimization, causal experimentation, and bandit/RL-based policy learning under real-world constraints. Partner with executive leadership on roadmap prioritization and capital allocation. Architect and scale agentic, recursive learning systems and low-latency inference platforms that continuously optimize pricing and business performance end-to-end.GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 30 million consumers and healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $100 billion on the cost of their prescriptions.

Education

• University of California, Berkeley

  Master of Information and Data Science, Data Science

• Molalla High School

  High School Diploma, General

• Gonzaga University

  Bachelor of Applied Science (BASc), Computer Science

Skills

• Html
• C++
• Java
• Verilog
• C#
• Wordpress
• Javascript
• Haskell
• Teamwork
• Computer Science
• Php
• Assembly Language
• Sql
• Vba
• Microeconomics
• Ruby on Rails
• Prolog
• Python
• Css
• Microsoft Office