Netflix

3 months ago

Data Scientist 5 - Ads Experimentation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Own the experimentation roadmap for the Netflix ads business, moving from manual analysis to automated, scalable frameworks integrated with the Netflix Experimentation Platform. Advance biddable media models and dynamically priced auctions to improve marketplace mechanics and member experience. Partner with Product and Engineering to solve cold-start measurement and scale across international markets, delivering end-to-end causal inference and machine learning solutions with high documentation and reproducibility.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and execute rigorous experimentation frameworks and transition from manual analysis to automated, scalable solutions integrated with the Netflix Experimentation Platform.
•Develop and implement biddable media models and dynamically priced auctions to optimize marketplace mechanics and member experience.
•Partner with Product and Engineering to address cold-start measurement challenges and scale the ad platform across international markets.
•Identify research opportunities, quantify business impact, and advocate for resources as a high-level consultant to product, strategy, and engineering.
•Deliver end-to-end solutions using causal inference, machine learning, and data exploration with strong documentation and reproducibility.

Pay and Benefits

Salary: USD 372,000 - 600,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability ProgramsLife InsurancePaid Leave

Key Requirements

•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 in a marketplace.
•Strong causal inference and experimental design experience, including interference and network effects in marketplace contexts.
•Expert proficiency in Python or R and advanced SQL.
•Ability to translate complex statistical results into actionable business narratives for stakeholders.

Experience:Marketplace experimentationAuction dynamicsYield management

Education:Master's

Skills:CommunicationMentorshipCollaborationSelf-starterAutonomy

Tech Stack:PythonRSQLMachine learningCausal inference

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: 4.1

Website LinkedIn Glassdoor

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Netflix

3 months ago

Data Scientist 5 - Ads Experimentation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and execute rigorous experimentation frameworks and transition from manual analysis to automated, scalable solutions integrated with the Netflix Experimentation Platform.
•Develop and implement biddable media models and dynamically priced auctions to optimize marketplace mechanics and member experience.
•Partner with Product and Engineering to address cold-start measurement challenges and scale the ad platform across international markets.
•Identify research opportunities, quantify business impact, and advocate for resources as a high-level consultant to product, strategy, and engineering.
•Deliver end-to-end solutions using causal inference, machine learning, and data exploration with strong documentation and reproducibility.

Pay and Benefits

Salary: USD 372,000 - 600,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability ProgramsLife InsurancePaid Leave

Key Requirements

•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 in a marketplace.
•Strong causal inference and experimental design experience, including interference and network effects in marketplace contexts.
•Expert proficiency in Python or R and advanced SQL.
•Ability to translate complex statistical results into actionable business narratives for stakeholders.

Experience:Marketplace experimentationAuction dynamicsYield management

Education:Master's

Skills:CommunicationMentorshipCollaborationSelf-starterAutonomy

Tech Stack:PythonRSQLMachine learningCausal inference

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: 4.1

Website LinkedIn Glassdoor