Senior Staff Data Scientist

About the Team:

Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes.

We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer.

What You'll Do:

• Own the analytical understanding of Netlify’s PLG performance across activation, engagement, conversion, monetization, and retention, identifying opportunities before they become requests

• Partner with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what the results mean

• Lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations

• Apply statistical rigor where it matters while recognizing when there is enough signal to make a decision and move forward, and help teams develop that same judgment

• Build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents  that surface opportunities without waiting to be asked

• Use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes the output useful

• Identify gaps in measurement, event instrumentation, and metric definitions, and partner with Data and Product Engineering to close them

• Serve as a trusted analytical partner to PLG leadership, using evidence and product judgment to influence investment decisions and roadmap priorities

• Influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority to do it

What You'll Bring:

• 8+ years of experience in product analytics, growth analytics, or data science, with a track record of high ownership and measurable impact on PLG or consumer product outcomes

• Deep understanding of product and growth dynamics across activation, engagement, conversion, monetization, and retention

• Demonstrated ability to turn behavioral data into product hypotheses and carry them from insight through experimentation and measured outcomes

• Deep experimentation expertise: study design, statistical reasoning, causal inference, and the judgment to know when an experiment has told you what you need to know

• Experience building analytical systems such as metrics layers, monitoring frameworks, or semantic models that teams can rely on over time

• An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster

• A track record of influencing senior stakeholders and product direction through analytical reasoning, clear recommendations, and sound judgment

• Comfort operating with significant autonomy in ambiguous problem spaces, including determining which questions are most important to answer

• Strong written and verbal communication skills in distributed environments, with the ability to make complex findings clear and recommendations actionable

This Role is a Great Fit If:

• You're energized by finding the opportunity before anyone thought to ask - proactive discovery is how you naturally work, not a mode you shift into

• You think like a product person who happens to be exceptionally rigorous with data, not a data person who occasionally weighs in on product

•  You thrive when the problem isn't handed to you - you'd rather define the question worth asking than answer the one that landed in your queue

• You get excited about building systems that keep working after you've moved on to the next problem

• You're