Sr. Director, Data Science

Your CareerWe are seeking a hands-on leader to build and guide the data science discipline at our company. You will be a strategic partner to leaders across several functions including GTM, Customer Success, Product and Marketing, shaping our most critical business decisions. Your team will serve as the company's quantitative center of excellence, tackling our most ambiguous and complex challenges.We’re looking for a "player-coach" who can both nurture a high-performing team and dive deep into the technical work. You have a background of statistics and ML, but you are actively leaning into the AI revolution to transform your own work and that of your team. If you thrive on owning open-ended problems, navigating both technical and organizational complexity, and building systems that drive real-world value, this role offers a unique opportunity to make a lasting impact.Your ImpactLead & Mentor: Recruit, hire, and cultivate a world-class team of data scientists. Foster a culture of intellectual curiosity, rigorous execution, and deep business partnershipDefine the Roadmap: Partner with executive leadership to identify and prioritize the most impactful business problems that can be solved with data science, from marketing attribution and product adoption to customer health scoringSteer Flagship Initiatives: Serve as the direct technical lead and architect for our most critical, cross-functional data science initiatives, personally guiding the methodology, execution, and delivery to ensure success on high-stakes projectsExecute with Impact: Lead your team in the end-to-end execution of complex projects. You will be hands-on, guiding the technical approach and contributing directly to the modeling, analysis, and deployment of key initiativesTell the Story, Own the Details: Translate sophisticated model outputs and analytical insights into clear, compelling narratives for executive audiences. When needed, you can effortlessly go deep, explaining the nuances of algorithms and model architecture to technical stakeholdersDrive to Production: Champion the full data science lifecycle. You understand that a model isn't done until it's deployed. You will ensure your team's work is productionalized, monitored, and maintained, leveraging your practical knowledge of data engineering and MLOps