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Salary: USD 204,000 - 275,000 / annual
Netlify is seeking a Senior Staff Data Scientist to lead the company's data strategy around product-led growth (PLG). You'll own the analytical understanding of Netlify's PLG performance across activation, engagement, conversion, monetization, and retention, proactively identifying opportunities before they become requests.
In this highly autonomous role, you will partner closely with Product and Engineering leadership to turn behavioral insights into product bets, defining what to test, how to measure it, and what results mean. You'll lead experimentation from hypothesis through decision, including study design, methodology, success metrics, guardrails, analysis, and recommendations. You'll apply statistical rigor where it matters while recognizing when there is enough signal to move forward, helping teams develop that same judgment.
You'll build scalable analytical systems like semantic models, trusted metrics, proactive monitoring, and AI-powered agents that surface opportunities without waiting to be asked. You'll use AI to investigate faster, automate recurring analytical work, and test more hypotheses without sacrificing the judgment that makes output useful. You'll identify gaps in measurement, event instrumentation, and metric definitions, partnering with Data and Product Engineering to close them.
As a trusted analytical partner to PLG leadership, you'll use evidence and product judgment to influence investment decisions and roadmap priorities. You'll influence product strategy through evidence, product instincts, and a clear point of view, without relying on formal authority.
Netlify is a Series D company that has raised over $200M from top-tier investors including Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. The company is fully distributed and focused on building, deploying, and scaling modern web applications. Millions of developers and organizations rely on Netlify as their platform of choice.
REQUIREMENTS:
- 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 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
- AI-native approach to analysis: actively use AI tools to accelerate investigation, automate repetitive work, and surface patterns faster
- 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 ability to make complex findings clear and recommendations actionable
