Summary
Pierce Spitler is a data science and machine learning leader with 11 years of experience building production ML systems and analytics programs, currently serving as VP of Data Science and Machine Learning at Custom Ink. He has scaled teams and end-to-end ML pipelines across consumer products and monetization during leadership roles at Realtor.com, Backflip, and Opcity, where his early models drove a >50% lift in a key company metric. His background blends industrial engineering and predictive analytics (Georgia Tech, Northwestern) with hands-on work in ETL, Bayesian modeling, web scraping, video analysis, and embedded deep learning for sensor and marketing applications. Pierce frequently bridges research and product, creating tooling, performing code reviews, and presenting at industry conferences, and he has a history of translating complex optimization and forecasting problems into operational solutions for enterprises like The Home Depot. Notably, he co-organized an Austin deep learning meetup and brings a practical focus on high-throughput model deployment and measurable business impact.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (BS) Industrial Engineering, Bachelor of Science (BS) Industrial Engineering at Georgia Institute of Technology
Master of Science (MS) Predictive Analytics, Master of Science (MS) Predictive Analytics at Northwestern University