Summary
Julia Lintern is a VP of Data Science with 12 years of experience applying rigorous mathematical modeling and practical engineering to drive AI/ML-enabled data pipelines and product solutions. She has led data science teams at Gartner and built production-grade recommendation and advertising systems at The New York Times, pairing full-stack implementation with statistical rigor. Her background spans applied mathematics and mechanical engineering, and she’s comfortable moving from optimization and reliability models to NLP and large-scale feature pipelines. Previously she taught Metis’s curriculum, giving her a rare ability to translate theory into teachable, production-ready practices. Colleagues describe her as curious, autonomous, and outgoing—qualities she channels into creative cross-disciplinary solutions. Outside work she studies improv and dance, which inform her quick thinking and collaborative leadership style.
12 years of coding experience
11 years of employment as a software developer
Master of Arts (MA), Applied Mathematics, Master of Arts (MA), Applied Mathematics at Hunter College
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at The University of Toledo