Senior Staff Data Scientist

About this role

Netlify is hiring a Senior Staff Data Scientist to shape product and growth strategy through deep analysis of the product-led growth journey. The role involves owning analytical understanding of PLG performance across activation, engagement, conversion, monetization, and retention, and turning insights into product bets and experiments. You will lead end-to-end experimentation, build scalable analytical systems, and use AI to accelerate analysis. The position requires collaborating with product and engineering leadership and influencing senior stakeholders with evidence-based recommendations. Netlify emphasises autonomy, clear written communication, and working in a remote-first environment.

What you would do

• Own analytical understanding of PLG performance across activation, engagement, conversion, monetization, and retention
• Partner with Product and Engineering to translate behavioral insights into product bets and test plans
• Lead experiments from hypothesis to decision, including study design and recommendations
• Apply statistical rigor and determine when enough signal supports a decision
• Build scalable analytical systems such as metrics layers and monitoring frameworks
• Use AI to accelerate investigations and automate recurring analyses
• Identify gaps in measurement and instrumentation and work with Data and Product Engineering to address them
• Serve as a trusted analytical partner to PLG leadership and influence investments and roadmaps
• Influence product strategy with evidence and clear judgment without relying on formal authority
• Operate autonomously in ambiguous problems and communicate clearly to stakeholders

What they are asking for

• 8+ years in product analytics, growth analytics, or data science with impact on PLG or consumer outcomes
• Deep understanding of activation, engagement, conversion, monetization, and retention in products
• Ability to turn behavioural data into product hypotheses and test them through experiments
• Strong experimentation expertise including study design, statistics, causal inference, and judgment
• Experience building analytical systems such as metrics layers or semantic models
• AI-native approach to analysis to accelerate investigations and surface patterns
• Track record of influencing senior stakeholders through analytics and recommendations
• Comfort working autonomously in ambiguous spaces and prioritising questions
• Strong written and verbal communication for distributed teams

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