Summary
Jay Feng is the CEO and founder of Interview Query, a San Francisco–based startup that helps data scientists land roles through learning and interview prep, built from his 11 years of applied data science experience. He started as the first data scientist at Jobr, where his Word2Vec, ElasticSearch, and NLP work materially improved match rates and mobile app ratings, and later led marketing analytics and recommendation initiatives at Monster and product data science at Nextdoor. Jay combines hands-on ML engineering—deploying ensemble models and real-time pipelines—with product instincts and growth outcomes, evidenced by measurable revenue and engagement gains. He publishes a newsletter and runs a data science YouTube channel, signaling a strong emphasis on teaching and community building beyond pure engineering. Based on an Electrical and Computer Engineering background from the University of Washington, he blends rigorous technical fundamentals with startup leadership. He’s selective about outreach but receptive to standout messages that demonstrate sharp copywriting or original thinking.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Computer Engineering, Bachelor of Science (B.S.) Electrical Computer Engineering at University of Washington
General, General at Mountain View High School