4 часа назад
Senior Staff Data Scientist (Product-Led Growth)
204 000 - 275 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff Data Scientist (Product-Led Growth): Building analytical systems and experimentation frameworks that shape Netlify’s activation, engagement, conversion, monetization, and retention strategy with an accent on product analytics, causal inference, and AI-powered analysis. Focus on identifying opportunities proactively, designing rigorous experiments, and turning behavioral data into product bets, metrics, and roadmap decisions.
Location: Remote; candidates outside the US may be considered
Salary: $204,000–$275,000 annual hiring range for most US-based locations; location-based ranges may differ outside the US and in premium markets.
Company
provides a platform for building, deploying, and scaling modern web applications and is developing agent-friendly experiences for its platform.
What you will do
- Own the analytical understanding of product-led growth across activation, engagement, conversion, monetization, and retention.
- Partner with Product, Engineering, Growth, and PLG leadership to turn behavioral insights into product bets and investment decisions.
- Lead experiments from hypothesis and study design through metrics, analysis, recommendations, and final decisions.
- Build scalable analytical systems, including semantic models, trusted metrics, monitoring frameworks, and AI-powered agents.
- Identify gaps in event instrumentation and metric definitions, then work with Data and Product Engineering to close them.
- Use evidence, product judgment, and clear recommendations to influence strategy without relying on formal authority.
Requirements
- 8+ years of experience in product analytics, growth analytics, or data science.
- Deep understanding of activation, engagement, conversion, monetization, and retention dynamics.
- Strong experimentation expertise covering study design, statistical reasoning, causal inference, success metrics, and guardrails.
- Experience building metrics layers, monitoring frameworks, semantic models, or other durable analytical systems.
- Ability to use AI tools to accelerate investigation, automate recurring analysis, and surface patterns.
- Strong communication, stakeholder influence, autonomy, and judgment in ambiguous problem spaces.
Culture & Benefits
- Remote-first, async environment focused on written clarity and self-direction.
- Fully distributed company culture designed for collaboration across locations.
- Competitive market-based compensation with location-dependent salary ranges.
- Robust benefits and participation in ’s equity plan.
- Inclusive workplace committed to diverse backgrounds, perspectives, and accessibility.
Hiring process
- Submit a resume or a short overview of job history and skills; a LinkedIn profile is accepted.
- A cover letter explaining interest in the role is welcome but optional.
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