[Hiring] Data Scientist 5, Messaging @Netflix

Role Description

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
• 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.

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
• Help define and evolve Messaging’s experimentation standards and measurement framework
• Own the code, data pipelines, and dataset enrichment your analyses depend on
• Automate recurring analysis work such as test reads, experiment dashboards, and messaging campaign health checks
• Set the tone for the day-to-day partnership between Messaging DSE and CMP
• Build data solutions that could scale as Messaging innovates and expands into new business verticals

Qualifications

• At least 5 years of relevant experience, with demonstrated strength in experimentation and causal inference
• Hands-on experience designing and analyzing experiments
• Exceptional communication skills with technical and non-technical audiences
• Strong thought partnership, able to own direct relationships with stakeholders
• Ability to translate ambiguous asks into clear data science solutions
• Strong SQL and Python skills
• Good judgment to balance between addressing stakeholder needs and investing in scalable solutions
• Ability to work independently and thrive in ambiguous situations

Requirements

• 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

• Comprehensive 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
• Full-time salaried employees are immediately entitled to flexible time off