Data Scientist 5, Messaging

Netflix

. Design and run rigorous A/B tests evaluating Messaging strategies, including channel, timing, content, and targeting .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $372,000 - $600,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and analyzing experiments, applying causal inference techniques, and building scalable data solutions. Strong communication skills facilitate collaboration across technical and non-technical teams while driving data-driven recommendations.

Highest-signal resume keywords

A/B TestingCausal InferenceSQLPythonExperimentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experiment DesignData AnalysisMeasurement TechniquesData Pipeline ManagementDashboard DevelopmentAutomationData EnrichmentStatistical AnalysisQuantitative ResearchData Science Solutions

Soft Skills

Exceptional CommunicationThought PartnershipJudgmentIndependenceClarity

Tools & Technologies

CRMGen AI Productivity ToolsMessaging/Lifecycle MarketingCampaign Analytics

Certifications & Qualifications

PhD in StatisticsMasters in EconomicsMasters in Computer ScienceMasters in Mathematics

Industry Keywords

Messaging StrategiesConsumer Messaging ProgramCross-Functional CollaborationScalable SolutionsBusiness Vertical Expansion

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and run rigorous A/B tests evaluating Messaging strategies, including channel, timing, content, and targeting
Apply causal inference techniques when clean testing is not feasible
Define and evolve Messaging experimentation standards and measurement frameworks
Own code, data pipelines, and dataset enrichment supporting analyses
Automate recurring analysis work, test reads, experiment dashboards, and messaging campaign health checks
Establish day-to-day partnership between Messaging DSE and the Consumer Messaging Program team
Translate open-ended business asks into well-scoped projects
Provide data-grounded recommendations for future strategies
Build scalable data solutions as Messaging expands into new business verticals and channels
Collaborate with Consumer Messaging Program, Product, Algorithms, Engineering, and other cross-functional colleagues

Requirements

What you’ll need

At least 5 years of relevant experience, with demonstrated strength in experimentation and causal inference
Hands-on experience designing and analyzing experiments
Comfort applying causal inference and measurement techniques beyond vanilla A/B tests
Exceptional communication skills with technical and non-technical audiences
Strong thought partnership and ability to build credibility through clarity and judgment
Ability to translate ambiguous asks into clear data science solutions
Strong SQL and Python skills, including building dashboards and automations
Good judgment balancing stakeholder or test-specific needs with scalable solutions
Ability to work independently, drive projects end-to-end, and thrive in ambiguous situations
Experience with CRM, messaging/lifecycle marketing, or campaign analytics (exceptional candidate)
Experience with algorithms as a product (exceptional candidate)
PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field (exceptional candidate)
Familiarity with Gen AI productivity tools (exceptional candidate)

Benefits

Comp & perks

Health Plans
Mental Health support
401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Full-time salaried employees are immediately entitled to flexible time off