Summary
Evan Case is a Staff Data Scientist based in Berkeley with nine years of experience building machine learning and analytics products that inform business decisions and optimize operations. He has led data initiatives at consumer-facing companies like Calm and Eaze—driving experimentation, LTV-driven marketing optimization, forecasting for inventory and staffing, and analytics for operational efficiency—and now applies that product-oriented approach at Recentive Analytics. His background includes energy-efficiency ML at Veolia and early data roles at RadiumOne, giving him cross-domain fluency in experimentation, forecasting, and applied optimization. Unusually for a data scientist, he also spent time as an independent musician and producer, amassing over 30 million streams, which informs a creative, metric-driven perspective on user engagement and product growth.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (B.A.) Economics Philosophy, Bachelor of Arts (B.A.) Economics Philosophy at Oberlin College