Julia Lintern

VP, Data Science

New York, New York, United States
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Summary

👤
Senior
🎓
Top School
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.
code12 years of coding experience
job11 years of employment as a software developer
bookMaster of Arts (MA), Applied Mathematics, Master of Arts (MA), Applied Mathematics at Hunter College
bookBachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at The University of Toledo
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Github Skills (10)

python9
tensorflow9
machine-learning9
deep-learning9
neural-network8
data-science8
deep-neural-networks7
ml7
metis7
science5

Programming languages (2)

C++Python

Github contributions (5)

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Contributions:19 commits, 19 pushes, 1 branch in 2 days
Contributions:32 commits, 26 pushes, 1 branch in 21 days
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Julia Lintern - VP, Data Science