Data Scientist 5, Messaging

🕒 September 18

🇺🇸 United States – Remote

💵 $372k - $600k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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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, 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

• 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

• 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