Data Scientist 5 – Ads Experimentation

Netflix

Data Scientist architecting experimentation, causal inference, and auction models for Netflix’s global advertising marketplace. Scaling measurement and marketplace mechanics across international markets.

Posted 9/10/2026full-timeRemote • New York • 🇺🇸 United StatesMid-LevelSenior💰 $372,000 - $600,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in causal inference, experimental design, and auction dynamics to optimize marketplace mechanics and enhance decision-making processes. Proficient in Python, R, and SQL, with a strong ability to communicate complex statistical insights to diverse stakeholders.

Highest-signal resume keywords

Causal InferenceExperimental DesignAuction DynamicsPython ProficiencyAdvanced SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Causal InferenceExperimental DesignAuction DynamicsPythonRAdvanced SQLData ExplorationMarketplace MechanicsBiddable Media ModelsDynamically Priced Auctions

Soft Skills

MentorshipCollaborationCommunicationSelf-StarterInclusion of Diverse Perspectives

Tools & Technologies

Netflix Experimentation Platform

Industry Keywords

Quantitative FieldStatisticsEconomicsMathematicsSupply-Demand MatchingYield ManagementCold-Start MeasurementHigh AutonomyRadical TransparencyBusiness Impact

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and execute rigorous experimental frameworks
Lead the transition from manual analysis to automated, scalable solutions integrated with the Netflix Experimentation Platform
Define best practices for trustworthy decision-making at scale
Advance and implement biddable media models and dynamically priced auctions
Develop strategies to optimize marketplace mechanics while balancing supply, demand, and member experience
Partner with Product and Engineering to solve cold-start measurement challenges
Scale the ad platform across diverse international markets
Act as a high-level consultant to Product, Strategy, and Engineering teams
Identify research opportunities, quantify potential business impact, and advocate for resource allocation
Cultivate partnerships with product, engineering, operations, design, and consumer research stakeholders
Deliver end-to-end solutions using causal inference, machine learning, and data exploration
Maintain high standards for documentation and reproducibility

Requirements

What you’ll need

MS or PhD in a quantitative field (e.g., Statistics, Economics, Mathematics) or equivalent practical experience
Significant experience with auction dynamics, yield management, or supply-demand matching within a marketplace setting
Mastery of causal inference and experimental design, with specific experience solving for interference and network effects in marketplace environments
Expert proficiency in Python or R
Advanced SQL
Ability to translate complex statistical results into actionable business narratives for stakeholders at all levels
Self-starter who thrives in an environment of radical transparency and high autonomy
Mentor and collaborator who prioritizes inclusion of diverse perspectives

Benefits

Comp & perks

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off for vacation, holidays, and sick paid time off
Full-time salaried employees are immediately entitled to flexible time off