Responsibilities

• Lead development and deployment of predictive models (segmentation, propensity, next-best-action, churn)
• Apply machine learning and statistical techniques to improve targeting and personalization
• Translate business problems into modeling approaches
• Develop and own frameworks for measuring impact of multi-channel, behavior-triggered acquisition and nurture programs across email, SMS, and app channels
• Implement incrementality testing, attribution modeling, and marketing mix modeling
• Deliver insights on ROI and campaign lift
• Establish feedback loops for continuous optimization
• Build a culture of experimentation
• Define best practices for statistical testing and interpretation
• Partner with stakeholders on test prioritization

Requirements

• 8+ years of experience in marketing analytics and automation, with at least 3 years in a leadership role.
• Proven track record in modeling, experimentation, and performance improvement
• Expertise in marketing analytics and experimentation with strong business acumen, stakeholder management, and the ability to translate complex marketing objectives into scalable data and modeling requirements.
• Strong understanding of predictive modeling, ML, and experimentation
• Strong knowledge of marketing measurement (attribution, MMM)
• Ability to translate business needs into analytics and data science requirements
• Strong communication and senior stakeholder influence
• Familiarity with marketing platforms (CRM, CDPs)
• Bachelor’s degree in Marketing, Data Analytics, or related field (Master’s preferred)
• Hybrid working model; Monday-Wednesday in office, Thursday/Friday from home.