As a Data Scientist on Netflix’s Ads Data Science & Engineering team, you will play a pivotal role in shaping the future of their advertising business by designing and executing rigorous experimental frameworks that transition from manual analysis to automated solutions. You’ll develop biddable media models and dynamically priced auctions to optimize marketplace mechanics, ensuring balance between supply, demand, and user experience. Additionally, you will collaborate with Product and Engineering teams to address cold-start measurement challenges and scale the ad platform globally. Your responsibilities include identifying research opportunities, quantifying their business impact, and advocating for resource allocation. You must have an advanced quantitative background, expertise in auction dynamics and yield management, mastery of causal inference, proficiency in Python or R, and strong SQL skills. This role demands strategic communication to translate complex statistical results into actionable insights for stakeholders at all levels.
Skills
Python
R
SQL
Netflix Experimentation Platform
Causal Inference
Machine Learning
Advanced Causal Inference
Experimental Design
Auction Theory
Yield Management
Supply-Demand Matching
Mastery of Causal Inference
Network Effects
Data Exploration
Documentation
Reproducibility
What you'll do
Design and execute rigorous experimental frameworks for scalable solutions.
Develop biddable media models and dynamically priced auctions to optimize marketplace mechanics.
Solve cold-start measurement challenges for rapid global ad platform scaling.
Identify research opportunities with significant business impact and advocate for resources.
Deliver end-to-end technical solutions using advanced causal inference and machine learning.
Cultivate strong partnerships with cross-functional stakeholders for strategic alignment.
Maintain high standards for documentation and reproducibility in all projects.
What we're looking for
Advanced degree in quantitative field or equivalent experience.
Expertise in auction dynamics and supply-demand matching.
Mastery of causal inference and experimental design techniques.
Proficiency in Python/R and advanced SQL skills.
Ability to communicate complex statistical results effectively.
Experience with scalable experimentation frameworks and automation.
Strategic thought leadership and cross-functional collaboration.
Market check
Salary context
This
$372,000–$600,000
range sits above
98%
of similar postings on FindRole.
Peer median band
$99,000–$212,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$182,200
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Netflix
Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media
Netflix currently has
91 open roles
on FindRole.
Listed pay typically runs
$388,000–$610,000
across 87 roles with salary data.