Director of Marketing Data Science, Flex

• You will bring deep technical expertise and strong people leadership, guiding the team through complex, high-impact problems at the intersection of marketing strategy, business outcomes, and scalable data science
• 10+ years of experience in data science, analytics, or applied statistics, with significant focus on marketing and growth
• Deep expertise in lifecycle analytics, performance marketing measurement, and attribution methodologies
• Strong foundation in data modeling, SQL, and analytics workflows, with hands-on experience scaling data systems
• Proven experience leading and mentoring data science or analytics teams
• Demonstrated ability to translate data insights into clear business impact and executive-level recommendations

Desirable

• We are seeking a Head of Marketing Data Science to lead the vision, strategy, and execution of marketing analytics and data science at Flex
• As the Director of Marketing Data Science, you will lead a high-impact team of data scientists and analysts responsible for driving advanced analytics, experimentation, and machine learning solutions across lifecycle marketing, performance marketing, and growth initiatives
• You will serve as a strategic thought partner to executive leadership and marketing stakeholders, shaping acquisition, engagement, retention, and monetization strategies through rigorous, data-driven insights
• In this role, you will oversee initiatives spanning marketing experimentation and incrementality testing, attribution and measurement frameworks, predictive customer and revenue modeling, and optimization of channel performance and lifecycle programs
• Own end-to-end marketing measurement across the customer lifecycle, performance marketing, and growth channels
• Design and evolve attribution and incrementality frameworks to drive efficient budget allocation and strategic decisions
• Define and maintain core marketing KPIs, dashboards, and reporting that enable clarity, accountability, and action
• Drive the evolution from descriptive analytics to predictive and prescriptive data science, including models for LTV, CAC, churn, and forecasting
• Apply machine learning approaches to improve targeting, personalization, bidding, and lifecycle optimization
• Build, lead, and mentor a high-performing marketing data science team, establishing best practices and technical rigor
• Act as a strategic partner to Marketing, Growth, Product, Finance, and executive leadership, clearly communicating insights and influencing investment decisions