Staff Data Scientist - Product Analytics

What you'll do

• Define and analyze product metrics, including activation, feature adoption, engagement, and retention; design experiments and causal analyses.
• Build and maintain dbt models and data products, partnering with Product and Engineering to turn insights into shipped features.
• Set analytical direction, mentor team members, and communicate findings to senior stakeholders.

What they ask for

• 8+ years in product analytics, data science, or a closely related quantitative field, with demonstrated senior- or staff-level impact.
• Expertise in product analytics, experimentation, A/B testing, funnel and retention analysis, causal inference, and product metrics.
• Advanced SQL and fluency in Python or R; ability to own dbt models, data modeling, and ELT practices.
• Track record of partnering with Product and Engineering to ship data products or data-informed features.

Nice to have

• Experience or strong interest in AI-assisted development and AI-ready data; familiarity with tools such as Cursor or Claude Code.
• Familiarity with a modern data stack such as Segment, Fivetran, BigQuery, dbt, Airflow, Looker, and Hex, or equivalents.

Pay

$180,000 - $220,000 USD base salary; $180K – $220K USD base salary

Tools

SQL, Python, R, dbt, Segment, Fivetran, BigQuery, Airflow

AI focus

Uses AI to accelerate pipeline and analysis work and prepares data, documentation, and metadata for reliable use by humans and LLMs; analyzes adoption of AI product features and helps build AI-powered experiences.