Data Analytics Lead (Retention Focus)
At Trafilea, we combine ecommerce excellence with AI-powered innovation to scale globally loved DTC brands. As a Data Science Lead (Retention), your mission is to leverage advanced analytics and machine learning to optimize customer retention strategies, drive revenue growth, and maximize customer lifetime value. You’ll lead data-driven initiatives end-to-end — from building predictive models to shaping loyalty programs — and collaborate with marketing, product, and international teams to transform insights into strategic retention actions across multiple channels and markets.What You’ll Do Retention Analytics & Strategy
Develop and implement segmentation strategies to personalize customer communication.
Track and optimize retention and LTV metrics, identifying opportunities to reduce churn.
Design and optimize discount coupon and loyalty program strategies to improve margins and engagement.
Support business teams with data-driven insights for decision-making.
Machine Learning & Modeling
Implement and evaluate models (e.g., churn prediction, LTV, propensity to buy) to boost campaign effectiveness.
Identify and execute process improvements with ML techniques.
Experimentation & Testing
Set up and manage A/B tests and experimental methodologies.
Design tests to optimize communication frequency without revenue loss.
Visualization & Reporting
Partner with BI to develop accurate dashboards and reporting systems.
Automate reporting and create alerts for early detection of performance issues.
Collaboration & Influence
Work closely with Growth Marketing, International Expansion, and Product teams to adapt strategies for global markets.
Present insights and recommendations to senior leadership and the CMO.
Leadership & Team Development
Mentor and coach team members, fostering a culture of knowledge sharing and continuous learning.
Provide technical guidance and lead cross-functional data initiatives.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Who You Are
5+ years of experience in data science/analytics with a strong focus on retention and customer insights.
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (Master’s preferred).
Strong programming skills in SQL and Python (or R).
Experienced with ML frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI).
Hands-on experience with CRM, CDP, and marketing attribution tools.
Proven leadership track record — managing teams and driving cross-functional projects.
Strong analytical skills with expertise in A/B testing and experimental design.
Excellent communicator — capable of translating complex analyses into actionable insights for non-technical stakeholders.
Strategic thinker, detail-oriented, and thrives in fast-paced, dynamic environments.
Data Analytics Lead (Retention Focus)
At Trafilea, we combine ecommerce excellence with AI-powered innovation to scale globally loved DTC brands. As a Data Science Lead (Retention), your mission is to leverage advanced analytics and machine learning to optimize customer retention strategies, drive revenue growth, and maximize customer lifetime value. You’ll lead data-driven initiatives end-to-end — from building predictive models to shaping loyalty programs — and collaborate with marketing, product, and international teams to transform insights into strategic retention actions across multiple channels and markets.What You’ll Do Retention Analytics & Strategy
Develop and implement segmentation strategies to personalize customer communication.
Track and optimize retention and LTV metrics, identifying opportunities to reduce churn.
Design and optimize discount coupon and loyalty program strategies to improve margins and engagement.
Support business teams with data-driven insights for decision-making.
Machine Learning & Modeling
Implement and evaluate models (e.g., churn prediction, LTV, propensity to buy) to boost campaign effectiveness.
Identify and execute process improvements with ML techniques.
Experimentation & Testing
Set up and manage A/B tests and experimental methodologies.
Design tests to optimize communication frequency without revenue loss.
Visualization & Reporting
Partner with BI to develop accurate dashboards and reporting systems.
Automate reporting and create alerts for early detection of performance issues.
Collaboration & Influence
Work closely with Growth Marketing, International Expansion, and Product teams to adapt strategies for global markets.
Present insights and recommendations to senior leadership and the CMO.
Leadership & Team Development
Mentor and coach team members, fostering a culture of knowledge sharing and continuous learning.
Provide technical guidance and lead cross-functional data initiatives.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Who You Are
5+ years of experience in data science/analytics with a strong focus on retention and customer insights.
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (Master’s preferred).
Strong programming skills in SQL and Python (or R).
Experienced with ML frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI).
Hands-on experience with CRM, CDP, and marketing attribution tools.
Proven leadership track record — managing teams and driving cross-functional projects.
Strong analytical skills with expertise in A/B testing and experimental design.
Excellent communicator — capable of translating complex analyses into actionable insights for non-technical stakeholders.
Strategic thinker, detail-oriented, and thrives in fast-paced, dynamic environments.