Staff Data Scientist, Growth

Responsibilities

• Own the growth funnel end-to-end.
• Analyze acquisition, activation, retention, referral, and monetization across the full user journey; find and size the highest-leverage opportunities to grow the business.
• Run the growth experimentation engine.
• Design and execute A/B tests and causal/incrementality studies on onboarding, activation nudges, funding conversion, pricing, lifecycle/CRM campaigns, and referral loops—building the guardrails, metrics, and self-serve tooling that let teams experiment with rigor and velocity.
• Model growth.
• Build retention/cohort analyses, churn and LTV models, CAC/payback and unit-economics views, and forecasts of core growth metrics; identify the compounding levers and growth loops worth investing in.
• Measure what marketing and partnerships actually drive. Use attribution, incrementality testing, and channel/marketing-mix analysis to guide acquisition spend, CAC, and payback.
• Define the growth metrics that matter. Define and maintain activation, retention, engagement, and monetization metrics and a clear North Star; partner with analytics engineering to build governed, scalable metrics and dashboards teams rely on daily.
• Embed cross-functionally.
• Partner closely with Product, Marketing, Sales, Engineering, and Finance to shape strategy and turn insight into roadmap, campaigns, and go-to-market decisions.

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