Marketing Data Scientist

📋 Description

• Frame marketing problems as scoped modeling tasks and own end-to-end.
• Develop attribution models to allocate marketing investment across channels.
• Build propensity, lead scoring, and churn models to prioritize GTM focus.
• Model product engagement signals vs downstream outcomes (expansion, retention, conversion).
• Design, execute, and interpret experiments (A/B, MVT, geo) with power analysis.
• Build segmentation and cohort analyses to reveal patterns and funnel opportunities.

🎯 Requirements

• Bachelor’s degree in quantitative field; Master’s/PhD a bonus.
• 4–6 years applying data science in product/growth/marketing at a high-growth company.
• Strong Python (pandas, scikit-learn, statsmodels) and SQL.
• Experience building predictive models driving business decisions.
• Hands-on marketing measurement: attribution, MMM, incrementality testing.
• Solid statistical foundation: forecasting, regression, causal inference, design.

🎁 Benefits

• Remote-friendly with a global, distributed workforce.
• Reasonable accommodations available during application/interview.
• Equal Opportunity employer.