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Senior Staff Data Scientist

Work from home

Remote role where the employee must remain based in a particular country.

Listed for United States

Source: the job board's country tag. The advert itself does not name United States.

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Listed for United States

Work style

Async

Contract

Full-time

Experience

Lead

Category

Data

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
You work well in a remote-first, async environment where written clarity and self-direction matter more than proximity
Where you can work from
Our hiring range for this role is targeted at $204,000 - $275,000 for most US-based locations.
Contract
Not mentioned in the advert
Experience asked for
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
Pay
We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "Remote"
  • Job description states: "US-based"

What Nomaders makes of it

  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

About the Team:

Netlify’s Data team helps the company understand and improve the full product-led growth journey, from activation and engagement through conversion, retention, and monetization. We partner closely with Product, Engineering, and Growth to uncover opportunities, evaluate investments, and understand what drives customer and business outcomes.

We’re hiring a Senior Staff Data Scientist to deepen how data shapes our product and growth strategy. You’ll develop an end-to-end understanding of the PLG journey, proactively identify opportunities, and turn complex data into hypotheses, experiments, and recommendations that influence where we invest and what we build. This is a highly autonomous role for someone who can move from identifying an important question to shaping the approach, defining success, and driving toward an answer.

What You'll Do:

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

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 the 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

An AI-native approach to analysis: you use AI tools actively to accelerate investigation, automate repetitive work, and surface patterns faster

A 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 the ability to make complex findings clear and recommendations actionable

This Role is a Great Fit If:

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 the 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

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Netlify, mentioning your remote working experience and working hours (Async).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 22d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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