Data Scientist 5- Content DSE

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.

The Content Data Science and Engineering team provides Netflix with a trusted measurement framework for content quality and value. We develop and evolve the metrics that inform billions of dollars in content investment decisions. As a measurement center of excellence, we don't just compute metrics - we define what success means. Through continuous research, validation, and cross-functional partnership, we ensure our frameworks remain rigorous and relevant as Netflix's content strategy evolves.

This role is for a Senior Data Scientist (L5) focused on measurement strategy and metrics development. You'll create the scoreboard that others use to evaluate success. We're looking for curious, proactive measurement experts who independently identify gaps in our frameworks, propose impactful research initiatives, and build the evidence base that informs strategic content decisions.

In this role, you will:

• Design and validate measurement frameworks that accurately capture content quality, engagement, and business value across diverse content types

• Autonomously identify measurement gaps and pursue research with significant business impact, making compelling cases for prioritization

• Apply causal inference, observational analysis, and statistical modeling to understand drivers of content value and member satisfaction

• Ensure metrics measure what they intend to, identifying potential biases, edge cases, and unintended consequences before they impact decisions

• Partner across Content, Product, Finance, and Engineering to align measurement approaches with business needs and technical constraints

• Serve as a strategic thought partner to stakeholders, influencing content and product strategy through clear measurement insights

• Contribute to team growth through documentation, mentorship, and knowledge sharing that uplevels skills and practices

• Build well-documented datasets, tools, and analytical frameworks that scale across the organization

• Present research clearly to technical and non-technical audiences at all levels

What you’ll bring:

• Advanced degree (PhD or Master's) in Statistics, Economics, Quantitative Social Sciences, Operations Research, Mathematics, or related field

• 5+ years applying statistical methods and causal inference to real-world product or business problems

• Deep measurement expertise—metric design, bias detection, trade-off analysis—with a track record of developing frameworks that informed strategic decisions, not just executing analyses using existing metrics

• Strong foundation in experimental design, regression analysis, and causal inference methods

• Proficiency in SQL and quantitative programming (Python or R)

• Ability to work independently: identifying impactful problems, scoping research, and driving projects from ambiguous starting points

• Comfort navigating problem spaces where the "right answer" requires judgment alongside calculation

• Excellent communication and influence across organizational levels, translating complex concepts for diverse audiences

• Intellectual curiosity and proactive mindset—asking "what should we be measuring?" not just "what are we measuring?"

• Embodies Netflix values while bringing fresh perspectives to strengthen our culture

We'd be especially excited if you also have:

• Experience in content analytics, user behavior measurement, or related domains

• Track record of mentoring and upleveling peers

• Comfort leveraging AI tools (LLMs, generative AI) to enhance analytical workflows and accelerate research

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $372,000.00 - $600,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.