Senior Data Scientist

📋 Description

• Translate complex causal models into actionable playbooks/dashboards for stakeholders
• Own end-to-end data lifecycle for marketing data; write dbt models; integrate CRM/web analytics
• Design and execute causal inference methods (A/B, incrementality, holdout)
• Build models to predict lead quality, LTV, and revenue potential
• Develop forecasting tools and Marketing Mix Models (MMM)
• Develop and maintain attribution models (MTA, DDA)

🎯 Requirements

• 5–8+ years in Marketing Science, Data Science, or Econometrics
• Expert in SQL and dbt; build/maintain data pipelines
• Strong Python for statistics (CausalML, DoWhy, Statsmodels, LightweightMMM)
• Experience with cloud platforms (Databricks, Snowflake, BigQuery)
• Experience measuring incremental impact via quasi-experiments, MMM, Causal ML
• Model multi-touch journeys linking marketing to sales outcomes

🎁 Benefits

• Competitive benefits
• Open, welcoming culture
• Opportunity to shape language AI products