Data Scientist, Marketing & eCommerce

Role Overview

The Data Scientist will own the development, validation, and ongoing improvement of predictive Customer Lifetime Value (LTV) models while forecasting revenue, analyzing customer purchasing behavior, and identifying opportunities to improve customer acquisition, retention, and profitability.

What You Will Do

Develop statistical and machine learning models to predict future customer value, purchasing frequency, repeat purchases, and retention. Perform cohort analysis and customer segmentation to identify trends in purchasing behavior and customer value.

Why It Might Be a Fit

The ideal candidate will have experience working with customer transaction and behavioral data within an eCommerce, direct-to-consumer (DTC), subscription, or digital consumer business, and will be able to translate predictive modeling results into actionable recommendations for Marketing, Finance, and Product teams.

Requirements

• 3+ years of hands-on experience in data science and predictive modeling
• Proven experience independently designing, building, and validating predictive Customer Lifetime Value (LTV/CLV) models
• Strong experience developing statistical and machine learning models for eCommerce revenue forecasting, customer purchasing behavior, and retention
• Advanced proficiency in Python and SQL, with demonstrated experience developing predictive models using customer-level datasets
• Experience applying statistical modeling and machine learning techniques to customer behavior, purchase frequency, and retention prediction
• Master’s degree in Data Science, Statistics, or a related quantitative field, or equivalent practical experience

Benefits

• Comprehensive vision and dental plans
• 401k with match eligibility
• 24/7 online physician consultations
• Virtual mental health resources
• Life coaching
• Engaging employee community groups
• Cash rewards for healthy habits and fitness reimbursements
• Library of on-demand fitness videos
• Career advancement opportunities
• Focused learning and development
• Empowering mentorship program
• Continuous improvement training