Director of Marketing Data Science

About the role

Join Flex, a leading company in the fintech industry, as the Director of Marketing Data Science. In this role, you will lead a high-impact team of data scientists and analysts, driving advanced analytics, experimentation, and machine learning solutions across various marketing initiatives. You will serve as a strategic thought partner to executive leadership and marketing stakeholders, shaping acquisition, engagement, retention, and monetization strategies through data-driven insights. Additionally, you will oversee marketing measurement, attribution frameworks, predictive modeling, and optimization of channel performance. Key missions: Lead the vision, strategy, and execution of marketing analytics and data science at Flex, overseeing initiatives spanning marketing experimentation and incrementality testing, attribution and measurement frameworks, predictive customer and revenue modeling, and optimization of channel performance and lifecycle programs.. Drive the evolution from descriptive analytics to predictive and prescriptive data science, including models for LTV, CAC, churn, and forecasting, and 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, and act as a strategic partner to Marketing, Growth, Product, Finance, and executive leadership, clearly communicating insights and influencing investment decisions. Profile: - 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 - Demonstrated ability to translate data insights into clear business impact and executive-level recommendations - 10+ years of experience in data science, analytics, or applied statistics, with significant focus on marketing and growth - 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 - Deep expertise in lifecycle analytics, performance marketing measurement, and attribution methodologies - Experience with machine learning models applied to marketing (e.g., LTV prediction, churn, targeting, optimization) - Familiarity with experimentation platforms, marketing tech stacks, and modern data warehouses - Background in fintech, consumer tech, or high-growth digital businesses - Experience partnering with senior executives and influencing company-level strategy