Summary
Jeff Schecter is a data scientist with 15 years of experience applying deep learning and computational modeling to natural language, vision, and structured data problems. Based in San Francisco, he currently shapes personalization and styling algorithms at Stitch Fix after leading analytics and small teams at Capital One and steering data science for the Level Money app through its acquisition. His background in linguistics and cognitive science informs a research-minded approach—he began in psycholinguistics modeling cognitive processes and has a track record fighting ad fraud at Google and building production analytics pipelines. Comfortable spanning data engineering to model deployment, he combines product-focused experimentation with rigorous statistical thinking to improve user-facing recommendations. Notably, he brings both hands-on implementation experience and a history of integrating research insights into scalable commercial products.
15 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (BA), Linguistics, Cognitive Science, Bachelor of Arts (BA), Linguistics, Cognitive Science at Northwestern University
Japanese, German