Product Data ScientistWe're looking for a Product Data Scientist to be the analytical backbone of our product and growth team. You'll work directly alongside PMs, engineers, and our analytics team to turn data into product decisions - from instrumentation and experimentation to funnel analysis and growth modeling.
This is not a reporting role. You'll own the analytical layer of how we understand user behavior and help us build the data intuition that drives product strategy.
What You'll Do- Build and own core product and growth metrics: activation, retention, engagement, and conversion - with particular depth on the nuances of a cross-platform, PLG consumer product
- Proactively surface insights - patterns in usage cohorts, feature adoption signals, product funnel drop-offs, engagement inflection points
- Partner with product managers and engineers across our core product surface areas to define and answer the questions that drive decisions
- Analyze A/B experiments end-to-end - from hypothesis formation through to causal interpretation and recommendations
- Collaborate closely with analytics engineers on our dbt + ClickHouse stack to ensure metric definitions and data models are clean, consistent, and align with business and product processes
What We're Looking For- 5+ years of experience in data science or quantitative analytics, with meaningful time spent at a consumer SaaS or consumer tech company
- Experience with experimentation - from hypothesis design through analysis, with the ability to build frameworks that let the product team run and learn from tests at scale
- Strong SQL skills and fluency working within a modern data stack (dbt, ClickHouse, Snowflake, or similar); Python proficiency for analysis and modeling
- Experience with embedded with product teams, using sound judgment in ambiguous situations to shape priorities and deliver actionable analysis
- Clear communicator who can make complex analysis legible to non-technical stakeholders
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