Data Scientist 5, Messaging

Netflix•,

21d•$372,000 - $600,000

About The Position

Messaging is Netflix’s most personal, 1:1 touchpoint with our members across off-platform channels such as email and push notifications, as well as in-product channels like interstitials. The scope of Messaging spans across many use cases: promoting catalog discovery, supporting commerce and member lifecycle moments, driving engagement, deepening brand affinity, and handling business-critical communications. As part of the Messaging Data Science & Engineering team, you will build the data, analytics, and experimentation systems behind who gets which message, when, through which channel, and whether it is worth sending. Doing this well means millions of members discover something they love or need, at exactly the right moment. 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.

Requirements

At least 5 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

Nice To Haves

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

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