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Salary: USD 204,000 - 275,000 / annual
Netlify is hiring a Senior Staff Data Scientist to lead the analytical understanding of product-led growth (PLG) across the platform. You'll own the full PLG journey—from activation and engagement through conversion, monetization, and retention—identifying opportunities proactively and turning complex data into hypotheses, experiments, and recommendations that shape product investment and strategy.
In this highly autonomous role, you will:
- Own analytical understanding of Netlify's PLG performance, identifying opportunities before they become requests
- Partner with Product and Engineering leadership to translate behavioral insights into product bets, defining what to test, how to measure success, and interpreting results
- Lead experimentation end-to-end: hypothesis development, study design, statistical methodology, success metrics, guardrails, analysis, and recommendations
- Apply statistical rigor judiciously, knowing when there is sufficient signal to make decisions and move forward; help teams develop this same judgment
- Build scalable analytical systems—semantic models, trusted metrics, proactive monitoring, AI-powered agents—that surface opportunities without waiting to be asked
- Leverage AI to investigate faster, automate recurring analytical work, and test more hypotheses while preserving the judgment that makes insights actionable
- Identify gaps in measurement, event instrumentation, and metric definitions; 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, instinct, and clear point of view, without relying on formal authority
You'll thrive in this role if you are energized by proactive discovery, think like a product person who happens to be exceptionally rigorous with data, and are comfortable defining important questions rather than just answering handed-down ones. You should enjoy building systems that keep working after you move on, be comfortable making calls with imperfect information, and excel as a thought partner to senior leaders. You work well in remote-first, async environments where written clarity and self-direction matter more than proximity.
Netlify is a Series D, fully distributed company that has raised over $200M from top-tier investors including Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. The platform enables millions of developers and organizations to build, deploy, and scale modern web applications. The company is now embedding the same fluid experience into the Agent Experience (AX), making it as simple for intelligent agents to interact with the platform as it is for developers.
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 provided sufficient signal
- 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: active use of 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
