Machine Learning Scientist 5- Forecasting Aggregation
Core
Build supervised machine learning models to predict ad campaign delivery outcomes (reach, frequency, contention) and replace a rules-based simulation engine for Netflix's ad-tech business.
Role type
Senior Machine Learning Scientist (Forecasting)
Builds
Predictive models for ad campaign supply and demand forecasting
Domain
Advertising technology / Media planning
Deliverable
production ML models
Required skills
supervised learning, feature engineering, Python, SQL, model interpretability, offline/online evaluation
Preferred skills
ad-serving domain expertise, large-scale ML tooling, GenAI application
Technologies
Python, SQL, Metaflow
Responsibilities
Build and iterate supervised ML models for campaign delivery prediction; design evaluation frameworks for accuracy and robustness; own feature engineering and feature store contributions; partner with ML engineers for production deployment and monitoring; communicate technical trade-offs to stakeholders.
Seniority
Senior, hands-on IC
