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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist 4- Messaging Data Science & Engineering - **Company:** Netflix, Inc. - **Location:** United States - **Experience:** Experienced - **Salary:** $280,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Data Systems, Python (Programming Language), Standard Sql, Information Technology, Data Pipelines - **Published:** August 17, 2026 - **Apply:** https://www.dice.com/job-detail/78722501-fe13-48a7-b326-c0a8d1234c66 ## About the Role * 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 Additionally, an exceptional candidate will have: * 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 ## Description We are seeking a Data Scientist with a strong background in experimentation and causal inference to lead the day-to-day partnership between Messaging DSE and our Consumer Messaging Program team (i.e. our team of CRM experts). You will collaborate closely with CMP and other cross-functional colleagues such as Product, Algos, and Engineering to design rigorous tests, exercise judgment on what counts as sufficient evidence to validate a hypothesis, and build the measurement frameworks that help the broader Messaging org move faster and with more confidence. In this role, you will: * 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 ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Beyond Autocomplete: Local AI Code Completion Demystified](https://www.wearedevelopers.com/videos/961-beyond-autocomplete-local-ai-code-completion-demystified) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)