Senior Data Scientist (Product Analytics)
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Описание вакансии
TL;DR
Senior Data Scientist (Product Analytics): Leading product analytics and experimentation for the .com homepage with an accent on metric definition, A/B testing, and statistical modeling. Focus on driving product strategy through data-driven storytelling and applying advanced statistical methods to understand user behavior.
Location: Hybrid (United States)
Salary: $143,625 - $299,375 per year
Company
is a global media and technology company that operates one of the most visited destinations on the internet.
What you will do
- Influence product strategy and roadmap through data-driven storytelling, partnering with Product, Engineering, and Design.
- Define and own key product metrics such as activation, engagement, and retention.
- Design, execute, and interpret complex A/B tests to inform high-stakes product decisions.
- Conduct deep-dive analyses to identify growth opportunities and user pain points.
- Apply advanced statistical methods including regression, cohort analysis, and causal inference.
- Build scalable dashboards and AI-augmented analytical workflows to automate routine tasks.
Requirements
- 5+ years of experience in product analytics or data science with ownership of metrics and experimentation at scale.
- Strong statistical foundation in hypothesis testing, regression, and causal inference.
- Proficiency in SQL and Python or R.
- Experience with BI tools such as Looker or Tableau.
- Experience partnering with Data Engineering for event instrumentation and building reliable datasets.
- Must be based in the United States.
Nice to have
- Experience with consumer-facing digital products with 10M+ DAU.
- Experience with AI-assisted coding tools like Claude Code, Copilot, or Gemini.
- Advanced degree in a quantitative field (Statistics, Economics, Computer Science, etc.).
Culture & Benefits
- Flexible hybrid work options with occasional in-person events.
- Comprehensive healthcare and a 401k plan.
- Backup childcare and education stipends.
- Inclusive environment with 11 employee resource groups (ERGs).
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