Data Scientist 4- Marketplace Valuation

Netflix
Panama
Workplace: RemoteFull timeUSD 280,000 - 421,000 annuallyFunction: Data Science & Machine LearningExperience: 2-5 yearsEducation: phdSkills: ["Communication","Stakeholder partnership","Independence","Driving projects","Self-starter"]

Use data science to balance competing demand across Netflix discovery surfaces within the Arbitration Marketplace team. Develop measurement frameworks and advanced measurement solutions to evaluate and improve marketplace-style content recommendation strategies. Build scalable tools, partner with Product, Engineering, and AI teams, and drive research from problem framing through production. Ideal candidates have strong marketplace dynamics, experimentation, and causal inference experience, plus proficiency in Python and SQL.

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FursaFursa
Netflix
Netflix
1 month ago

Data Scientist 4- Marketplace Valuation

âś“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 2 weeks ago

Job Summary

Use data science to balance competing demand across Netflix discovery surfaces within the Arbitration Marketplace team. Develop measurement frameworks and advanced measurement solutions to evaluate and improve marketplace-style content recommendation strategies. Build scalable tools, partner with Product, Engineering, and AI teams, and drive research from problem framing through production. Ideal candidates have strong marketplace dynamics, experimentation, and causal inference experience, plus proficiency in Python and SQL.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop a deep understanding of Netflix product surfaces and how they drive members’ discovery experience.
  • •Design measurement frameworks and playbooks to evaluate content recommendation strategies in marketplace settings.
  • •Develop advanced measurement solutions and quantify high-impact research opportunities.
  • •Build scalable tools and solutions to translate business needs into production-ready outcomes.
  • •Partner with Product, Engineering, and business stakeholders to define metrics and influence product strategy.

Pay and Benefits

Salary: USD 280,000 - 421,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisability ProgramsFlexible SpendingLife InsurancePaid Leave

Key Requirements

  • •A PhD (or equivalent) in Statistics, Economics, Mathematics, Computer Science, or a related quantitative field.
  • •2-5 years of experience in marketplace dynamics, experimentation, and causal inference.
  • •Experience building and deploying data science solutions at scale.
  • •Proficiency in Python and advanced SQL, plus familiarity with GenAI productivity tools.
  • •Exceptional oral and written communication skills, with the ability to work independently and drive projects.
Experience:2-5 yearsMarketplace dynamicsExperimentationCausal inferenceRecommendation systems
Education:PhD / Doctorate
Skills:CommunicationStakeholder partnershipIndependenceDriving projectsSelf-starter
Tech Stack:PythonSQLGenAILLMsMachine 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
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Glassdoor: 4.1
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