Summary
David Clark is a Sr. Data Scientist based in San Jose with a decade of experience bridging scientific research and production ML across startups and large companies like Meta and Optum. He brings deep expertise in feature engineering, PySpark/SQL pipelines, and TensorFlow models—delivering impact from click-through-rate recommenders at Meta to size-prediction CNNs and time-series noise detection for sensor and magnetic-field data. Trained as an astronomer (PhD), he combines rigorous experimental design and data visualization with practical software tooling—having built databases, Python packages, and deployed evaluation metrics used in production. Fluent in Spanish and comfortable across domains from genomics to retail, he’s known for turning messy, domain-specific datasets into robust, production-ready models that measurably reduce business friction.
10 years of coding experience
19 years of employment as a software developer
Palo Alto High School
Bachelor of Arts (BA) Cum Laude Physics with Honors, Bachelor of Arts (BA) Cum Laude Physics with Honors at Colby College
Data Science, Data Science at Springboard
Doctor of Philosophy (Ph.D.) Astronomy, Doctor of Philosophy (Ph.D.) Astronomy at University of Florida
Spanish