Marketing Data Scientist

### About the Role:

The Marketing Data Scientist is a rigorous, intellectually curious problem solver embedded directly within the Marketing function for the GTM team. They own the science behind how we understand, attract, and grow our customers — building the models, measurement frameworks, and experiments that turn complex marketing data into decisions that move the business forward. They do not just report on what happened — they design the studies that tell us why and build the models that tell us what comes next.

### What You'll Do:

• Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end.
• Develop and own attribution models that accurately allocate marketing investment across channels and touchpoints.
• Build propensity, lead scoring, and churn models to prioritize where GTM teams should focus.
• Model the relationship between product engagement signals and downstream commercial outcomes — expansion, retention, and conversion.
• Design, execute, and interpret experiments (A/B, MVT, geo-based) with appropriate power analysis and statistical validity.
• Build and apply segmentation models and cohort analyses to uncover behavioral patterns, lifecycle trends, and funnel opportunities.
• Analyze organic search and AEO signals as modeling inputs to inform content strategy and improve discoverability.
• Partner with analytics engineers to productionize models and move insights from notebook to pipeline.
• Use AI tools to move faster, explore unfamiliar methods, and surface modeling options — while developing the judgment to know when AI-generated outputs are wrong or incomplete.

### What You'll Bring:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field; Master's or PhD is a bonus.
• 4 to 6 years applying data science in a product, growth, or marketing context at a high-growth company.
• Strong command of Python (pan...