Remote opportunity at
NetlifySenior Staff Data Scientist
Netlify is seeking a Senior Staff Data Scientist to join its remote data division. The company operates a platform for building, deploying, and scaling modern web…
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About This Role
Netlify is seeking a Senior Staff Data Scientist to join its remote data division. The company operates a platform for building, deploying, and scaling modern web applications relied upon by millions of developers and organizations, backed by over $200 million in funding from investors like Andreessen Horowitz and Kleiner Perkins. In this fully distributed and autonomous position, the professional will analyze the complete product-led growth lifecycle, spanning activation, engagement, conversion,…
Job Description
Netlify is seeking a Senior Staff Data Scientist to join its remote data division. The company operates a platform for building, deploying, and scaling modern web applications relied upon by millions of developers and organizations, backed by over $200 million in funding from investors like Andreessen Horowitz and Kleiner Perkins. In this fully distributed and autonomous position, the professional will analyze the complete product-led growth lifecycle, spanning activation, engagement, conversion, monetization, and retention.
The ideal candidate thinks like a product strategist with deep quantitative expertise, preferring to independently define vital questions rather than waiting for instructions. Responsibilities include guiding experimentation from hypothesis to decision, constructing scalable analytical systems and semantic models, leveraging AI to accelerate research, and acting as a strategic partner to growth leadership. Candidates comfortable navigating ambiguity in a remote-first, asynchronous setting will thrive here.
Responsibilities
- Manage the analytical evaluation of product-led growth performance across user activation, engagement, conversion, monetization, and retention
- Collaborate with engineering and product leaders to convert behavioral insights into concrete testing strategies and measurements
- Direct experimentation procedures from initial hypothesis formulation through methodology design, implementation, analysis, and final recommendations
- Construct scalable data infrastructure such as trusted metrics, semantic frameworks, proactive monitoring tools, and AI-driven agents
- Identify and fix gaps in telemetry, event tracking, and metric definitions alongside product engineering
- Advise growth leadership on roadmap priorities and investment choices using evidence-based reasoning
Requirements
- Minimum of 8 years of working background in product analytics, growth data science, or related analytical fields
- Demonstrated history of driving measurable outcomes in consumer or product-led growth settings
- Extensive expertise in study design, statistical inference, causal reasoning, and experiment evaluation
- Experience developing reliable data systems like metrics layers and monitoring architectures
- Familiarity utilizing AI tools to speed up investigations and automate repetitive analytical workflows
- Strong communication abilities suited for distributed and asynchronous teams
Core Skills
Benefits
- Participation in the company equity plan
- Comprehensive rewards package including location-adjusted compensation
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this a remote position?
Yes, this is a fully distributed, remote role operating in an asynchronous environment.
What is the salary range for this role?
The targeted hiring range for most US-based locations is $204,000 to $275,000, while compensation for candidates outside the US or in premium markets may vary based on location.
How many years of experience are required?
Candidates must have at least 8 years of professional background in product analytics, growth analytics, or data science.
How do I apply for the position?
You can apply by submitting a resume or a short listing of your job history and skills, with an optional cover letter explaining why you would enjoy the role.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.