Tech Stack

Description

You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to optimize user acquisition, engagement, monetization, and long-term player value. You'll collaborate cross-functionally to drive measurable business outcomes.

Requirements

• 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics
• Proven experience building production-grade predictive models (LTV, churn, propensity, MMM)
• Strong expertise in experimentation, causal inference, and marketing measurement
• Advanced SQL and Python skills, including scalable ETL and production workflows
• Experience with BI tools (e.g., Looker) and enabling self-serve analytics

Responsibilities

• Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing
• Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM)
• Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality)
• Architect and maintain scalable ETL pipelines for marketing and product data
• Apply modern AI/ML tools to accelerate modeling and analysis