Jeong-Yoon Lee

Co-Founder

Los Angeles, California, United States15 yrs 11 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 20 years of experience in data science leadership.
  • Led winning teams in prestigious data science competitions.
  • Expert in causal machine learning and personalization strategies.
Stackforce AI infers this person is a Data Science leader with expertise in Machine Learning and Marketing Analytics.

Contact

Skills

Core Skills

Machine LearningData Science

Other Skills

PersonalizationTargetingOptimizationGenAICausal Machine LearningRecommender SystemsMarketing Data ScienceCC++JavaPythonMatlabRSASMySQL

About

Jeong-Yoon Lee is a seasoned data science leader with close to 20 years of experience, leading multiple applied science teams comprising up to 20 scientists. Currently, he serves as a Senior Manager in Applied Science at Uber and is a faculty member at the University of Chicago. At Uber, he leads research and development in personalization, targeting, optimization, and GenAI for marketing. At the University of Chicago, he teaches the Causal Models in Data Science course in the Master’s in Applied Data Science program. Jeong is also leading the CausalML project, an open-source Python package that provides a suite of causal machine-learning algorithms based on recent research. He has co-organized the Causal Machine Learning Tutorial and Workshops (CMLKDD) at KDD since 2021. As an avid participant in machine learning competitions, Jeong won the KDD Cup in 2012 and 2015 and was ranked in the top 10 at Kaggle in 2015. He also served as the co-chair of the KDD Cup in 2018. Prior to joining Uber, Jeong was a Sr. Research Scientist at Netflix, a Sr. Applied ML Scientist at Microsoft, and the Chief Data Scientist at Conversion Logic. Jeong received his Ph.D. in Computer Science from the University of Southern California and his B.S. in Electrical Engineering from Seoul National University.

Experience

15 yrs 11 mos
Total Experience
2 yrs 4 mos
Average Tenure
4 yrs
Current Experience

University of chicago

Lecturer

Aug 2025Present · 9 mos · Chicago, Illinois, United States · Remote

  • Teaching the Causal Models in Data Science course in the Master's in Applied Data Science program at the University of Chicago

Uber

2 roles

Sr. Manager, Applied Science

May 2022Present · 4 yrs · Los Angeles Metropolitan Area

  • Lead multiple applied science teams on personalization, targeting, creative optimization, auto-content generation, and GenAI for marketing
  • Report to the Chief Economist (VP)
  • Previous scopes include bidding optimization for performance marketing, MMM and geo-test for brand marketing.
Machine LearningPersonalizationTargetingOptimizationGenAIData Science

Staff Data Scientist, Tech Lead Manager

Jan 2019Oct 2020 · 1 yr 9 mos · Santa Monica, California

  • Causal machine learning. Marketing data science.
  • Led the CausalML package development and company-wide DS/DA Coding Best Practices.
Causal Machine LearningMarketing Data ScienceMachine LearningData Science

Netflix

Sr. Research Scientist - Recommendation and Search Algorithm

Oct 2020May 2022 · 1 yr 7 mos · Los Angeles Metropolitan Area

  • Causal machine learning. Recommender systems.
Causal Machine LearningRecommender SystemsMachine LearningData Science

Neofect

Board Member

Mar 2019Mar 2023 · 4 yrs · Yongin, Gyeonggi-do, Korea

  • Neofect empowers people with disabilities through technical innovations (KOSDAQ: 290660)

Conversion logic

2 roles

Science Advisor

Jun 2017Jan 2019 · 1 yr 7 mos

Chief Data Scientist - Founding Team

Jul 2014Jun 2017 · 2 yrs 11 mos

  • Marketing attribution platform.
  • Won the 1st prize at KDD Cup 2015.

Microsoft

Sr. Applied Machine Learning Scientist

Jun 2017Jan 2019 · 1 yr 7 mos · Greater Los Angeles Area

Leaf group

Lead Applied Scientist

Oct 2012Jul 2014 · 1 yr 9 mos · Santa Monica, California, United States · On-site

Operasolutions

Staff Scientist

Jun 2011Oct 2012 · 1 yr 4 mos · Greater San Diego Area

Neofect

Co-Founder

May 2010May 2011 · 1 yr · Seoul, Korea

  • Went public in 2018 (KOSDAQ: 290660)

Education

University of Southern California

Doctor of Philosophy - PhD — Computer Science

Seoul National University

Bachelor of Science - BS — Electrical Engineering

Stackforce found 100+ more professionals with Machine Learning & Data Science

Explore similar profiles based on matching skills and experience