Data Scientist 5, Messaging

At Netflix , our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

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.

The Team: Messaging DSE 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.

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 m