Director of Data Science & Analytics

• Effectively communicate and drive collaboration with key stakeholders across the business to provide insights, analysis and recommendations
• Own the Data architecture and roadmap, working independently to understand, prioritize, and plan the team’s work
• Research and promote opportunities to take on new technologies, frameworks, and approaches in customer data analysis, AB testing, data and machine learning
• Apply causal research and explanatory modeling to better understand customer behavior, marketing performance, site behavior, etc.
• Deploy predictive data models that our customers will interact with, including product recommendations, size predictions, and predicted return rates
• Design and analyze rigorous experiments aimed at understanding customer behavior
• Scale the Everlane data platform with smarter and more sophisticated data on ongoing basis
• Oversee a skilled team of data analysts, data scientists, and data engineers, coaching direct reports and developing their skills

• BA/BS degree in business analysis, quantitative or computing focused degree
• 7+ years of experience in retail/e-commerce or a B2C technology company
• 5+ years of data technology experience (data collection, analysis, machine learning, statistical modeling)
• 3+ years of people management experience
• Ability to understand and interpret the business and provide a firm point of view from both a stakeholder and data perspective
• Expertise in R, Python, or another data science suitable language
• Expertise in SQL
• Strong fundamentals in statistics and probability, including formal statistical modeling and experimental design

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