Director, Data Science & Analytics (Retention)

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Requirements:

• 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.

Responsibilities:

• 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.