Data Scientist 5- Content DSE

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