Director, Data Science & Analytics (Retention)

7-10+ years of experience in data science and analytics, with at least 3 years in a leadership role. Demonstrated ability to work closely with marketing and customer experience teams. Proficiency in statistical modeling, machine learning, and data manipulation tools (e.g., Python, R, SQL). Experience with marketing attribution models, A/B testing, and retention strategies. Strong understanding of customer segmentation and targeting strategies. Ability to lead, mentor, and develop a team of data professionals. Excellent verbal and written communication skills. Expertise in churn prediction models and customer lifetime value analyses. Experience with CRM systems (e.g., Salesforce, HubSpot) and retention marketing tools (e.g., Braze, Klaviyo). Experience in the direct-to-consumer or e-commerce industry. Experience with data visualization tools (e.g., Tableau, Streamlit). Previous experience with Netsuite is required.

Lead and mentor a team of data scientists and analysts focused on Customer Advocacy & Retention. Develop and execute a cohesive data strategy that aligns with the company’s growth objectives. Collaborate with business leaders to translate strategic goals into actionable data-driven initiatives. Develop and refine churn prediction models using machine learning techniques. Calculate customer lifetime value across segments to inform marketing strategies. Collaborate with retention teams to design and implement targeted retention campaigns. Create detailed customer segments and develop tailored retention strategies. Analyze the customer journey to identify disengagement points and optimize them.