Data Scientist 5, Messaging

Netflix
Panama
Workplace: RemoteFull timeUSD 372,000 - 600,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Stakeholder management","Judgment","Independent ownership","Translating ambiguous needs"]

Build experimentation and causal inference systems for Messaging, partnering with CRM experts to measure and improve who receives which message, when, and via what channel. Design and run rigorous A/B tests, apply causal inference when experiments aren’t feasible, and define experimentation standards and measurement frameworks. Own analysis code, data pipelines, and dashboards, automate recurring measurement workflows, and deliver data-grounded recommendations to inform messaging strategies.

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FursaFursa
Netflix
Netflix
6 days ago

Data Scientist 5, Messaging

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build experimentation and causal inference systems for Messaging, partnering with CRM experts to measure and improve who receives which message, when, and via what channel. Design and run rigorous A/B tests, apply causal inference when experiments aren’t feasible, and define experimentation standards and measurement frameworks. Own analysis code, data pipelines, and dashboards, automate recurring measurement workflows, and deliver data-grounded recommendations to inform messaging strategies.
Location: Panama
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and run rigorous A/B tests evaluating messaging strategy across channel, timing, content, and targeting.
  • •Apply causal inference techniques when clean tests aren’t feasible to support confident business decisions.
  • •Define and evolve Messaging experimentation standards and measurement frameworks, developing shared playbooks for high-rigor testing.
  • •Own the code and data pipelines (including dataset enrichment) needed for reliable analyses and actionable results.
  • •Automate recurring measurement work such as experiment dashboards and messaging campaign health checks, turning requests into repeatable workflows.

Pay and Benefits

Salary: USD 372,000 - 600,000 annually
Perks:Health Insurance401kEquityDisability ProgramsPaid Leave

Key Requirements

  • •At least 5 years of relevant experience with strong experimentation and causal inference.
  • •Hands-on experience designing and analyzing experiments, comfortable applying causal inference and measurement techniques beyond vanilla A/B tests.
  • •Strong SQL and Python skills, including building dashboards and automations.
  • •Exceptional communication skills to influence technical and non-technical partners with clear, actionable recommendations.
  • •PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (or experience equivalent in the role).
Experience:5+ yearsExperimentationCausal inferenceCRMMessagingLifecycle marketingCampaign analyticsAlgorithms as a productGen AI
Education:
Skills:CommunicationStakeholder managementJudgmentIndependent ownershipTranslating ambiguous needs
Tech Stack:SQLPythonA/B testingCausal inferenceDashboardsData pipelines

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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