Netlify Senior Staff Data Scientist at Netlify responsible for deepening data-driven product and growth strategy. Leads experimentation and builds scalable analytical systems to influence investment and roadmap decisions.
Responsibilities
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
Qualification
Required
8+ years of experience in product analytics, growth analytics, or data science
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 through experimentation and measured outcomes
Deep experimentation expertise including study design, statistical reasoning, and causal inference
