Key Responsibilities

• Design and deploy ML models for churn, retention, and customer activation
• Lead causal inference studies to determine the effectiveness of marketing strategies
• Collaborate with ML Platform teams to operationalize data pipelines
• Quantify business opportunities to guide the product roadmap
• Mentor the data science team on best practices and scientific rigor

Essential

• 9+ years of professional experience in machine learning, data science, or advanced analytics
• Expertise in marketing-specific data science including LTV, churn, and retention modeling
• Deep understanding of causal inference techniques such as synthetic controls, DiD, and uplift modeling
• Proficiency in Python and SQL for building production-grade ML models
• Experience with experimentation frameworks and statistical testing (e.g., CUPED, geo-experiments)
• Proven ability to partner with Product teams to define success metrics and strategy

Preferred

• Experience within SaaS, AdTech, or MarTech industries
• Knowledge of Real-Time Bidding (RTB) and identity graphs
• Familiarity with attribution modeling and incrementality testing
• Experience navigating and solving ambiguous business problems

Key Skills