This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale
Job Summary
This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.
You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value.
Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes.
Matching Summary
This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale.
Skills & Requirements
Must-have
ML and experimentation foundation
predictive modeling
personalization
experimentation frameworks
emerging ML capabilities
customer engagement, retention, and lifetime value
personalization and recommendation systems
robust experimentation frameworks
causal inference methodologies
product success metrics and measurement frameworks
Nice-to-have
thought leader on emerging data science techniques
foster a culture of innovation
continuous learning within the data science organization
deep-dive analyses on user behavior patterns
Key Requirements
8+ years of experience in data science
at least 3 years in leadership roles
Proven track record building and deploying ML models
Deep expertise in experimentation and causal inference
Strong product sense and business acumen
Experience in consumer tech, e-commerce, or marketplace businesses