Staff Data Scientist, Growth

. Define and own how Alpaca measures and grows across the entire customer journey, from acquisition and activation to retention and monetization.

Posted 9/25/2026full-timeRemote • United StatesLeadWebsite

Key responsibilities & impact

Define and own how Alpaca measures and grows across the entire customer journey, from acquisition and activation to retention and monetization.
Analyze acquisition, activation, retention, referral, and monetization across the full user journey and identify high-leverage growth opportunities.
Design and execute A/B tests and causal/incrementality studies across onboarding, activation, funding conversion, pricing, lifecycle/CRM campaigns, and referral loops.
Build experimentation guardrails, metrics, and self-serve tooling.
Build retention/cohort analyses, churn and LTV models, CAC/payback and unit-economics views, and growth forecasts.
Use attribution, incrementality testing, and channel/marketing-mix analysis to guide acquisition spend, CAC, and payback.
Define and maintain activation, retention, engagement, and monetization metrics and partner with analytics engineering on governed metrics and dashboards.
Partner with Product, Marketing, Sales, Engineering, and Finance to shape strategy and decisions.
Create visualizations and narratives for cross-functional partners and senior leadership.
Operationalize self-serve and agentic growth analytics.
Mentor data scientists and analysts and contribute to data-informed growth standards.

What you’ll need

Proven expertise in growth and/or product analytics and data science, with a strong background in statistical analysis and experimentation.
Hands-on experience with growth/funnel analytics—acquisition, activation, retention/churn, LTV/CAC, cohort analysis, and lifecycle/CRM analytics.
Experience designing and building experimentation tooling and frameworks for trustworthy A/B tests and causal-inference / incrementality analyses.
Familiarity with marketing measurement—attribution, incrementality, or marketing-mix modeling—a strong plus.

Comp & perks