Machine learning for recommendations, subscriptions and advertising.
Senior Director, Machine Learning Engineering at CNN.Previously Meta, Peacock, SeatGeek, The New York Times and Plated.
New York City
Ph.D. in Mathematics, University of Tennessee, Knoxville
Work
CNN
2026 - Present- Senior Director, Machine Learning Engineering
Leads machine learning across recommendations, subscriptions and advertising, including support for generative AI evaluation.
Meta
2024 - 2026- Machine Learning Engineer, Tech Lead
Tech lead in ads ranking, working on the models and delivery systems behind app install and app event optimization and the launch of new ad products.
Peacock (NBCUniversal)
- Director, Data Science2024
- Senior Manager, Data Science2022 - 2024
Built and led a team of data scientists and ML engineers focused on subscriber retention and monetization, with churn and lifecycle models and support for pricing strategy.
SeatGeek
2021 - 2022- Lead Data Scientist
Built pricing and customer segmentation models and helped maintain the company’s internal A/B testing platform.
The New York Times
- Senior Data Scientist2020 - 2021
- Data Scientist2019 - 2020
Built paywall and subscription models grounded in randomized experiments and causal machine learning, along with models for churn and engagement.
Plated
2017 - 2019- Data Scientist
Built recommendation and demand forecasting models.
Expertise
- Recommendation and personalization
- CNN, Meta and Plated
- Subscriptions, paywalls and pricing
- CNN, Peacock, SeatGeek and The New York Times
- Ads ranking and delivery
- CNN and Meta
- Experimentation and causal inference
- Peacock, SeatGeek and The New York Times
- Generative AI
- CNN and Peacock
- Building and leading ML teams
- CNN and Peacock
Mentoring and advising
I mentored four NYU Center for Data Science graduate students through a capstone project. At Meta I helped onboard and mentor junior ML engineers, and at Plated I led academic outreach, including sessions at NYU and Cornell Tech.
I have mentored through GrowthMentor and SharpestMinds, and on machine learning and AI through TeamUp.
I also advise early-stage companies and investors on machine learning strategy and on building a first ML team.
To ask about mentoring or advising, email me.
Background
- Ph.D. Mathematics, M.S. Statistics, M.S. MathematicsUniversity of Tennessee, Knoxville
- B.S. MathematicsStony Brook University
- Board of VisitorsUniversity of Tennessee Mathematics Department
Contact
Email is best for mentoring, advising or speaking.
- linkedin.com/in/andrewmarchese