Director and Head of CRM Analytics and Science
Core
Lead high-impact, data-driven initiatives to scale and optimize customer engagement and marketing ecosystems for millions of customers.
Role type
Director and Head of CRM Analytics and Science
Builds
Personalization, targeting, and optimization models for customer lifetime value and growth
Domain
E-commerce / Marketing Science
Deliverable
production ML models
Required skills
Data science strategy, team leadership, machine learning, statistical modeling, personalization/recommendation systems, large-scale A/B testing, causal inference, real-time decisioning
Preferred skills
Customer lifetime value (LTV) modeling, churn prediction, marketing mix modeling (MMM), incrementality testing, audience segmentation, e-commerce scale experience
Technologies
Python, SQL, Spark, TensorFlow, PyTorch, Hadoop, Kafka, Snowflake, Tableau, Looker
Responsibilities
Define and execute the vision and technical roadmap for CRM and lifecycle marketing data science initiatives; Build, mentor, and scale high-performing squads of data scientists; Lead the development and deployment of advanced machine learning models for outbound and onsite marketing; Drive data science solutions for customer lifecycle stages and strategic category growth; Partner with Product, Engineering, and Growth Marketing to embed data science into marketing automation platforms; Act as a trusted advisor to senior leadership on model mechanics and business impacts
Seniority
Director, hands-on IC with team leadership