Alpaca
Alpaca
Alpaca is a fintech company building API-driven infrastructure for investing and brokerage services. Its platform supports algorithmic trading, embedded investing, and financial application development, with access to U.S. stocks, ETFs, and cryptocurrency, including options for local-currency transactions. Alpaca serves fintech startups, broker-dealers, hedge funds, and other financial services organizations that want to develop trading products through documented APIs, including its Broker API. The company also highlights cybersecurity and operates as a FINRA and SIPC member.

Staff Data Scientist, Growth (United States Remote)

Lead growth analytics and experimentation across Alpaca’s customer journey, from acquisition through monetization. Connect product, marketing, and lifecycle data to improve growth decisions across the global brokerage platform.

Description

  • Own the measurement and growth strategy for Alpaca’s customer journey, spanning acquisition, activation, retention, and monetization.
  • Analyze acquisition, activation, retention, referral, and monetization performance to uncover high-impact growth opportunities.
  • Design and run A/B tests and causal or incrementality studies across onboarding, activation, funding conversion, pricing, lifecycle and CRM campaigns, and referral programs.
  • Develop experimentation guardrails, measurement frameworks, and self-service analytics tools.
  • Create cohort and retention analyses, churn and LTV models, CAC and payback analyses, unit-economics views, and growth forecasts.
  • Apply attribution, incrementality testing, and marketing-mix analysis to inform acquisition investment, CAC, and payback decisions.
  • Establish and maintain activation, retention, engagement, and monetization metrics with analytics engineering support for governed dashboards and definitions.
  • Work with Product, Marketing, Sales, Engineering, and Finance to influence strategy and business decisions.
  • Present clear visualizations and analytical narratives to cross-functional teams and senior leaders.
  • Scale self-service and agentic approaches to growth analytics.
  • Mentor data scientists and analysts while advancing data-informed growth practices.

Requirements

  • Demonstrated expertise in growth or product analytics and data science, supported by strong statistical analysis and experimentation skills.
  • Practical experience with growth funnel analysis, including acquisition, activation, retention and churn, LTV and CAC, cohorts, and lifecycle or CRM data.
  • Experience developing experimentation tools and frameworks for reliable A/B testing, causal inference, and incrementality analysis.
  • Knowledge of marketing measurement methods such as attribution, incrementality testing, or marketing-mix modeling is a strong advantage.

Benefits

  • Competitive salary and stock options
  • Health benefits
  • One-time USD 500 home-office setup allowance for new hires
  • USD 150 monthly stipend provided through a Brex Card

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