# Machine Learning Scientist 5- Forecasting Aggregation at Netflix

- Company: Netflix
- What the company does: Watch Netflix movies & TV shows online or stream right to your smart TV, game console, PC, Mac, mobile, tablet and more. Backed by IVP and Redpoint.
- Company website: https://www.netflix.com
- Type: Startups (AI role)
- Level: Mid level
- Location: USA - Remote
- Work setup: Remote
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://netflix.wd108.myworkdayjobs.com/en-US/Netflix/job/USA---Remote/Machine-Learning-Scientist-5--Forecasting-Aggregation_JR41952
- Page: https://www.1752.vc/careers/jobs/netflix-machine-learning-scientist-5-forecasting-aggregation/

## About the role

Build, prototype, and iterate on supervised machine learning models that predict campaign delivery outcomes — delivery risk, reach, frequency, and contention — to replace the current simulation engine. Model demand-side campaign outcomes while incorporating supply-side signals , so the models reason about how well available inventory matches what advertisers are trying to achieve (targeting, frequency caps, contention, pacing).

## What they're looking for

- Advanced degree (PhD or Master's) in Statistics, Mathematics, Computer Science, or a related quantitative field
- 5+ years of relevant experience building machine learning models on large-scale data
- Deep expertise in supervised learning (e.g. gradient-boosted trees, regression, and related methods) with a strong bias toward interpretable, explainable models
- Strong feature engineering skills and familiarity with feature stores and standard ML lifecycle practice (versioning, evaluation, monitoring, retraining)
- Proven ability to prototype algorithms and validate them rigorously against production data
- Strong programming skills in Python and strong SQL