Research Scientist 5, Marketplace - Ads DSE

Netflix
Panama, United States
Workplace: RemoteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Business acumen"]

Design and implement machine learning and optimization algorithms to improve ad quality and performance across Netflix’s ad-supported marketplace. Build, train, and evaluate models using large-scale production data, and develop online/offline evaluation frameworks to measure impact. Partner with product to set optimization objectives and constraints, and communicate trade-offs and experiment results to technical and non-technical stakeholders.

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FursaFursa
Netflix
Netflix
3 months ago

Research Scientist 5, Marketplace - Ads DSE

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design and implement machine learning and optimization algorithms to improve ad quality and performance across Netflix’s ad-supported marketplace. Build, train, and evaluate models using large-scale production data, and develop online/offline evaluation frameworks to measure impact. Partner with product to set optimization objectives and constraints, and communicate trade-offs and experiment results to technical and non-technical stakeholders.
Location: Panama, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement ML and optimization algorithms to improve ad quality and performance.
  • •Build, train, and evaluate models on large-scale production data.
  • •Develop online and offline evaluation frameworks to measure impact of model improvements.
  • •Partner with product teams to define optimization objectives, constraints, and trade-offs aligned to business goals.
  • •Communicate technical decisions, trade-offs, and experiment results to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityDisabilityFlexible SpendingPaid LeaveLife InsuranceFlexible Time

Key Requirements

  • •PhD or Master’s in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • •Proficiency in Python, Scala, or Java.
  • •Deep knowledge of machine learning, optimization, and data analysis techniques.
  • •Experience prototyping and deploying algorithms using large-scale production data.
  • •Experience with ad optimization stacks such as targeting, ranking, and bidding.
Experience:AdvertisingAd techMarketplace ads
Education:PhD / Doctorate in Computer Science, Statistics, Mathematics, or related quantitative field
Skills:CommunicationCollaborationBusiness acumen
Tech Stack:PythonScalaJava

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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