Data Scientist II - Customer Analytics
Core
Lead high-impact analyses across customer acquisition, retention, product performance, and omnichannel behavior to drive business decisions and strategy.
Role type
Senior IC applied data scientist (customer analytics)
Builds
Actionable recommendations, scalable analytical frameworks, and reusable datasets for business partners
Domain
Retail / E-commerce / Consumer Products
Deliverable
product features
Required skills
SQL, Python, R, Spark, statistical modeling, predictive modeling, causal inference, data storytelling, stakeholder management
Preferred skills
DTC retail experience, customer lifecycle analysis, basket analysis, external data integration, digital analytics
Technologies
SQL, Python, R, Spark
Responsibilities
Lead end-to-end analytical projects from problem definition to business activation; Analyze large customer and transaction datasets to identify growth opportunities; Translate complex findings into executive-ready narratives; Develop customer and product analytics including segmentation and cohort analysis; Integrate internal data with external sources like consumer trends and competitive intelligence; Apply statistical and machine learning techniques to improve decision-making; Partner with business leaders and product teams to translate priorities into roadmaps
Seniority
Senior, hands-on IC