Craig Olson
Lead Data Scientist - Product Creation & Merchandising
Greater Philadelphia United States
Summary
👤
Senior🎓
Top SchoolCraig Olson is a lead data scientist with a decade of experience applying ML and advanced analytics to customer-centric problems in retail, currently shaping product assortment and consumer engagement strategies at Nike. He specializes in lifetime value modeling, non-contractual churn prediction, customer interest aggregation, and multi-modal product similarity using visual, text, and behavioral embeddings. His background includes building predictive LTV platforms at Zodiac (now part of Nike) and translating transactional big-data insights into executable marketing programs at American Express. Craig combines rigorous applied statistics (MS, Villanova) with hands-on engineering across production ML systems, and he’s known for making complex retention and recommendation signals immediately actionable for product and merchandising teams.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Statistics, Bachelor of Science - BS, Mathematics, Statistics at University of VermontMaster of Science - MS, Applied Statistics, Master of Science - MS, Applied Statistics at Villanova University
Github Skills (12)
deploying7
watson5
machine-learning5
docker4
tfx4
tensorflow4
apache-beam4
mlflow2
ml2
mlops2
python-client1
python1
Programming languages (1)
Github contributions (5)
colson1111/Algorithms
Jan 2017 - Jan 2024
Contributions:11 pushes, 1 branch in 7 years
colson1111/ISLR
Aug 2015 - Aug 2015
Contributions:69 commits, 68 pushes, 1 branch in 2 days
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