Data Scientist II, Customer Analytics

What you'll do

• Lead end-to-end analytical projects from framing complex business questions to delivering actionable recommendations.
• Analyze large customer, transaction, product, marketing, and digital datasets to identify growth opportunities.
• Translate complex findings into concise, executive-ready narratives that communicate the "so what" and recommended actions.
• Develop customer and product analytics including lifecycle, segmentation, basket, and behavioral analyses to inform strategy.
• Integrate internal data with external sources like consumer trends and competitive intelligence to build a holistic business view.
• Apply statistical, predictive, causal, and machine learning techniques to improve business decision-making.
• Create scalable analytical frameworks, reusable datasets, and automated processes to reduce manual work.
• Partner with cross-functional teams to translate business priorities into technical analytical roadmaps and deliverables.

What we're looking for

• Bachelor's degree with 5+ years of experience or a master's degree with 3+ years of experience in a quantitative field.
• Proven ability to lead complex analytical projects from problem definition through recommendation and business activation.
• Advanced proficiency in SQL and experience working with large datasets in distributed or cloud environments.
• Proficiency in Python, R, Spark, or other modern analytics and data science tools.
• Strong written and verbal communication skills for presenting recommendations to senior stakeholders.
• Ability to work independently as a self-starter while managing multiple priorities and collaborating across functions.
• Experience in DTC retail, apparel, e-commerce, or other customer-focused industries is preferred.
• Experience with customer lifecycle, product performance, digital analytics, or integrating external market data is preferred.