Summary
Quentin Thomas is a senior data scientist and ML engineer with 11 years of experience specializing in decision systems, personalization, and causal reinforcement learning, currently shaping content strategies at Bleacher Report from Pittsburgh, CA. He builds ML-driven internal models, offline counterfactual simulation tools, and data architectures that tie causal inference to measurable engagement outcomes like CTR and retention. Quentin has a strong background in data warehousing and pipeline design from roles at WarnerMedia, where he owned statistical algorithms for content distribution and end-to-end data management. He mentors junior scientists and collaborates closely with engineering and editorial teams to operationalize research into production-grade systems. Quentin holds an MS in Data Science from Southern Methodist University and brings a pragmatic mix of statistical rigor and software engineering discipline that surfaces causal insight, not just predictive accuracy.
11 years of coding experience
Master of Science - MS Data Science, Master of Science - MS Data Science at Southern Methodist University
BA Computers Communications, BA Computers Communications at Georgia State University