Note: The job is a remote job and is open to candidates in USA. Netflix is an entertainment company focused on helping members discover content and engaging experiences through technology and storytelling. The Data Scientist will lead experimentation and causal inference efforts for Messaging, partnering with CRM, Product, Algorithms, and Engineering teams to design tests, develop measurement frameworks, automate analyses, and deliver scalable data solutions.
Responsibilities
- Design and run rigorous A/B tests evaluating Messaging strategies (including channel, timing, content, and targeting) with a sharp eye for statistical validity and business relevance
- Exercise causal inference techniques when a clean test isn’t feasible, so the team can still make confident calls in situations where standard experimentation frameworks don’t apply
- Help define and evolve Messaging’s experimentation standards and measurement framework, developing a shared playbook that lets the broader team run tests with high rigor
- Own the code, data pipelines, and dataset enrichment your analyses depend on, so results are reliable and stakeholders can act on them with confidence
- Automate recurring analysis work such as test reads, experiment dashboards, and messaging campaign health checks, turning one-off requests into self-serve tools and repeatable workflows for the team
- Set the tone for the day-to-day partnership between Messaging DSE and CMP, translating open-ended business asks into well-scoped projects, and bringing data-grounded recommendations to inform future strategies
- Build data solutions that could scale as Messaging innovates and expands into new business verticals (e.g. Live, Games) or channels
Skills
- * At least 3 years of relevant experience, with demonstrated strength in experimentation and causal inference
- * Hands-on experience designing and analyzing experiments, with comfort applying causal inference and measurement techniques beyond vanilla A/B tests
- * Exceptional communication skills with technical and non-technical audiences, able to influence your partners using clear actionable insights and recommendations
- * Strong thought partnership, able to own direct relationships with stakeholders and build credibility through clarity and judgment
- * Ability to translate ambiguous asks into clear data science solutions to influence the business
- * Strong SQL and Python skills, including building dashboards and automations that improve team efficiency and surface insights
- * Good judgment to balance between addressing stakeholder or test-specific needs and investing in scalable solutions to serve general use cases
- * Ability to work independently, drive your own projects end-to-end, and thrive in ambiguous situations
- * Experience with CRM, messaging/lifecycle marketing, or campaign analytics
- * Experience with algorithms as a product
- * PhD/Masters degree in Statistics, Economics, Computer Science, Mathematics, or a related quantitative field
- * Familiarity with Gen AI productivity tools
Benefits
- Health Plans
- Mental Health support
- A 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
Company Overview
Company H1B Sponsorship