Collin Hazlett is an Analytics Engineering Manager at Audible with 11 years of experience building data products and ML-driven insights to guide business decisions. He combines a strong statistical foundation (BS in Mathematical Statistics and MSc in Computer Science from Georgia Tech OMSCS) with hands-on engineering—designing a data mart that scaled to 400+ billion rows and creating a globalized metrics system that became an alternative to MicroStrategy. His work spans production ML (SageMaker XGBoost), causal and sequential modeling (Markov chains, contextual bandits), and tooling that automates discovery of high-impact segments and trend drivers. Collin has a proven track record of accelerating decision velocity—evidenced by rapid COVID-era dashboards and modularized ETL that shortened dashboard production time. He’s equally comfortable leading teams and diving into code or experiments, frequently translating research into measurable lift (up to 60% CTR gains in prior roles). Based in New York, he pairs product-focused analytics leadership with a penchant for pragmatic, scalable engineering solutions.
11 years of coding experience
4 years of employment as a software developer
Data Science, Data Science at General Assembly
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor of Science (BS), Mathematical Statistics and Probability, Bachelor of Science (BS), Mathematical Statistics and Probability at The University of Texas at Austin
Contributions:33 commits, 30 pushes, 1 branch in 1 day
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Collin Hazlett - Manager, Analytics Engineering at Audible