Data Scientist - Product Analytics

Role overview Partner with Product, Growth, and a central Analytics Engineering team to own the analysis behind how people discover, adopt, and stay engaged with a suite of AI products spanning creative tools, conversational agents, and developer APIs. The role centers on defining product health metrics, running experiments, and turning ambiguous questions into trusted analysis.

Responsibilities - Define and own product health metrics including activation, feature adoption, retention, and engagement across multiple product lines. - Design, analyze, and communicate results of product experiments such as A/B tests, feature launches, and onboarding changes. - Partner with analytics engineering on the certified product KPI layer in dbt, ensuring metrics are trustworthy and reusable. - Translate ambiguous product questions into clear, defensible analyses and reusable frameworks. - Collaborate with other growth data scientists on marketing- and revenue-adjacent questions that touch the product funnel.

Requirements - Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company. - Strong SQL and Python, with hands-on experience in experimentation (A/B testing) and product analytics. - Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics. - Comfort working directly with product and growth stakeholders, including pushing back on ill-defined asks. - Structured thinker who can move fast without sacrificing rigor.

Nice to have - Experience with activation or retention modeling, or lifecycle analytics at a consumer or prosumer product. - Experience with dbt or a modern data warehouse, partnering directly with analytics engineers. - Experience using AI tools or agents to speed up analysis or enable self-serve data access.

Benefits and work setup - Remote-first work setup. - Annual discretionary learning and development stipend. - Annual social travel stipend to meet colleagues in person. - Annual company offsite bringing the whole team together at a chosen location. - Monthly co-working stipend for those not located near a main hub.