Data Scientist 4 – Messaging Data Science & Engineering

🕒 July 29

🇺🇸 United States – Remote

💵 $280k - $421k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design and run rigorous A/B tests evaluating Messaging strategies across channel, timing, content, and targeting • Apply causal inference techniques when clean experimentation is not feasible • Define and evolve Messaging’s experimentation standards and measurement framework • Develop a shared experimentation playbook for the broader team • Own the code, data pipelines, and dataset enrichment supporting analyses • Automate recurring analysis work, including test reads, experiment dashboards, and campaign health checks • Translate open-ended business requests into well-scoped projects and provide data-grounded recommendations • Build scalable data solutions as Messaging expands into new verticals and channels • Partner day-to-day with the Consumer Messaging Program team and collaborate with Product, Algos, Engineering, and other cross-functional colleagues

🎯 Requirements

• At least 3 years of relevant experience • Demonstrated strength in experimentation and causal inference • Hands-on experience designing and analyzing experiments • Comfort applying causal inference and measurement techniques beyond standard A/B tests • Exceptional communication skills with technical and non-technical audiences • Ability to influence partners using clear, actionable insights and recommendations • Strong thought partnership and stakeholder relationship management • Ability to translate ambiguous requests into clear data science solutions • Strong SQL and Python skills • Experience building dashboards and automations • Good judgment balancing stakeholder or test-specific needs with scalable solutions • Ability to work independently and drive projects end-to-end • Ability to thrive in ambiguous situations • Experience with CRM, messaging/lifecycle marketing, or campaign analytics is advantageous • Experience with algorithms as a product is advantageous • PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field is an exceptional-candidate qualification, not a stated minimum requirement • Familiarity with Gen AI productivity tools is an exceptional-candidate qualification

🏖️ Benefits

• Annual compensation may be allocated between salary and stock options • 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, including vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off