Data Scientist, Growth

ClickHouse ClickHouse · Data AI · United States · Product Management

This role focuses on building marketing attribution infrastructure and driving product-led growth through data insights. The analyst will own analytics across the self-serve funnel, establish attribution frameworks, analyze experiments, and connect marketing investments to growth outcomes. Responsibilities include building multi-touch attribution models, analyzing campaign performance, establishing data pipelines, designing and analyzing A/B tests, and owning funnel analytics.

What you'd actually do

  1. Build and own multi-touch attribution models that connect marketing campaigns, channels, and touch points to product signups, trial starts, and pipeline
  2. Partner with marketing to analyze campaign performance across paid, organic, and community channels—measuring impact on signup volume, user quality, and conversion rates.
  3. Establish marketing data pipelines and ensure clean, standardized tracking across web analytics, marketing platforms, and product data.
  4. Design, analyze, and interpret A/B tests across the website and product to optimize conversion rates at each funnel stage.
  5. Own analytics for the product-led growth funnel: website conversion, signup flows, onboarding, and activation metrics.

Skills

Required

  • SQL
  • Google Analytics
  • UTM tracking
  • Marketing attribution methodologies
  • Python
  • A/B testing
  • Data visualization
  • Marketing campaign platforms
  • Customer segmentation
  • CRM data

Nice to have

  • ClickHouse
  • Preset

What the JD emphasized

  • deep attribution expertise
  • Expert-level SQL skills
  • Strong experience with Google Analytics and UTM tracking frameworks
  • Strong experience with marketing attribution methodologies
  • Proficiency in Python for statistical analysis
  • Deep understanding of experimental design, A/B testing methodologies