Tian Zhou
Data Science & Engineering Leader @ Netflix Ads | Ex-BCGer
- Role
- Data Science Manager at Netflix
- Location
- Los Angeles, CA, US
- LinkedIn followers
- 500 followers
About Tian Zhou
Designed, developed, and delivered data science solutions at scale for a variety of…
Experience
Data Science Manager
Apr 2025 — Present · Los Angeles, CA, US
Lead a team of Data Scientists and Analytics Engineers to build forecasting algorithms and solutions to support sales, ops, account management, serving, and yield optimization, as part of the Netflix Ads Suite (NAS) ecosystem. My team lead the following initiatives- Publisher inventory and supply forecasting (eg, subscriber, engagement, seasonality etc)- Targeted inventory forecasting, covering any and all combinations of rich audience targetings- Campaign unique reach & frequency histogram forecasting - Budget reach curve forecasting for media planning and public API- Sponsorship forecasting & pricing (single title sponsorship, SOV basis etc)- Live event audience, inventory, and traffic forecasting- Contention-aware order-level max avail forecasting - Non-guarantee campaign bidding win-rate forecasting- Underwriting and revenue cannibalization prediction- Delivery risk forecasting and simulation- Sell-through rate prediction for any and all targeting segments- Ad Serving simulation modeling (eg, frequency cap effect)- Ad Serving rule validation, evaluation, and experimentation- Offline simulation to support long-term planning and upfronts- Demand Forecasting (both marco level, and also micro level with synthetic demand generation)- Revenue Forecasting for FP & A (fill rate, CPM, revenue etc)- Comprehensive forecasting analytics (eg, accuracy, robustness, monitoring, observability)- Forecasting explainability & tooling (with GenAI bots)- Forecasting platform- Forecasting to support Budget Planning- Forecasting to support VPPA and privacy checksetc
Education
Purdue University
Master's Degree, Electrical and Computer Engineering
2014 — 2016
Southeast Univerisity
Bachelor's degree, Electrical Engineering
2009 — 2013
Purdue University
Ph.D., Industrial Engineering
2013 — 2017
Purdue University
Exchange program, Electrical Engineering
2012 — 2012
Skills
- Robot-Assisted Surgery
- Matlab
- Signal Processing
- Pattern Recognition
- Human-Robot Interaction
- C++
- Python
- Vhdl
- Opencv
- Deep Learning
- Microsoft Office
- Robotics
- Machine Learning
- Java
- Sql
- Reinforcement Learning
- Computer Vision
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