Senior Manager, Data Science
Core
Design, build, and validate Bayesian statistical models and analytical frameworks for a Growth AI Performance System product module, translating commercial questions into production-ready outputs for client-facing decisions.
Role type
Senior Manager, Data Science (Applied AI / Product)
Builds
Production-ready statistical models and data products for marketing ROI, brand strategy, and pricing analytics
Domain
Consulting / Applied AI / Marketing Analytics
Deliverable
production ML models
Required skills
Bayesian statistical modeling, experiment design, time-series forecasting, marketing mix modeling, brand equity measurement, price elasticity analysis, entity resolution, agentic system integration, model validation, stakeholder communication
Preferred skills
Experience with agentic workflows, handling messy enterprise data, interpreting uncertainty measures
Technologies
Bayesian frameworks, time-series tools, agentic evaluation harnesses
Responsibilities
Own statistical modeling and analytical delivery from problem framing to production handoff; Design and validate domain-specific analytical frameworks; Translate model outputs into structured data products for engineering consumption; Engage with consulting teams and senior stakeholders to defend assumptions and adjust models based on feedback
