Data Scientist 5 - Ads Experimentation

Netflix
New York
Workplace: RemoteFull timeUSD 372,000 - 600,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Self-starter","High autonomy","Collaboration","Mentorship","Strategic communication"]

Design and lead scalable experimentation for Netflix’s ads marketplace, evolving from manual analyses to automated solutions integrated with the Netflix Experimentation Platform. Advance biddable media models and dynamically priced auctions to optimize marketplace mechanics and member experience. Collaborate with Product and Engineering to solve cold-start measurement and scale globally, while applying causal inference and machine learning to produce trustworthy, reproducible decisions.

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FursaFursa
Netflix
Netflix
4 months ago

Data Scientist 5 - Ads Experimentation

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Last checked: 2 hours agoStatus: Live

Job Summary

Design and lead scalable experimentation for Netflix’s ads marketplace, evolving from manual analyses to automated solutions integrated with the Netflix Experimentation Platform. Advance biddable media models and dynamically priced auctions to optimize marketplace mechanics and member experience. Collaborate with Product and Engineering to solve cold-start measurement and scale globally, while applying causal inference and machine learning to produce trustworthy, reproducible decisions.
Location: New York
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and execute rigorous experimental frameworks, transitioning from manual analysis to automated scalable solutions integrated with the Netflix Experimentation Platform.
  • •Advance biddable media models and dynamically priced auctions, optimizing marketplace mechanics to balance supply, demand, and member experience.
  • •Partner with Product and Engineering to address cold-start measurement and scale the ad platform across international markets.
  • •Identify research opportunities, quantify business impact, and advocate for resource allocation as a high-level consultant to Product, Strategy, and Engineering.
  • •Deliver end-to-end solutions using causal inference, machine learning, and data exploration with high standards for documentation and reproducibility.

Pay and Benefits

Salary: USD 372,000 - 600,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsPaid LeaveLife BenefitsFlexible Time

Key Requirements

  • •MS or PhD in a quantitative field (Statistics, Economics, Mathematics) or equivalent practical experience.
  • •Significant experience with auction dynamics, yield management, or supply-demand matching in a marketplace setting.
  • •Expert mastery of causal inference and experimental design, including interference and network effects.
  • •Expert proficiency in Python or R, and advanced SQL.
  • •Ability to translate complex statistical results into actionable business narratives for stakeholders.
Experience:MarketplaceAdsExperimentation
Education:Master's in Quantitative field (e.g., Statistics, Economics, Mathematics)
Skills:Self-starterHigh autonomyCollaborationMentorshipStrategic communication
Tech Stack:PythonRSQLNetflix Experimentation Platform

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
Glassdoor
Glassdoor: 4.1
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