Requirements

Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company.
Strong SQL and Python skills, 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 and pushing back on ill-defined asks.
Structured thinker who can move fast without sacrificing rigour.

Nice to haves

Experience with activation/retention modelling 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.

Define and own product health metrics such as activation, feature adoption, retention, and engagement across ElevenCreative, ElevenAgents, and ElevenAPI.
Design, analyze, and communicate results of product experiments including A/B tests, feature launches, and onboarding changes.
Partner with Analytics Engineering on the certified product KPI layer in dbt and collaborate with Product on turning ambiguous questions into trusted analysis.
Work alongside fellow Growth data scientists on marketing- and revenue-adjacent questions related to the product funnel.

Innovative culture focused on defining the trajectory of AI with a team pushing boundaries.
Growth paths offering opportunities to drive impact beyond immediate role and responsibilities.
Learning & development supported via an annual discretionary stipend.
Annual discretionary stipend for social travel to meet colleagues.
Annual company offsite at inspiring locations like Croatia and Italy.
Monthly co-working stipend for those not near main hubs.