The company is seeking a hands-on leader to build and guide the data science discipline, serving as a strategic partner to leaders across GTM, Customer Success, Product, and Marketing to shape critical business decisions and tackle ambiguous and complex challenges.
Requirements
- Deep fluency in the modern data science stack, including Python and SQL
- Strong, intuitive grasp of machine learning, statistical modeling, and causal inference
- Experience with data engineering and MLOps
Responsibilities
- Lead & Mentor: Recruit, hire, and cultivate a world-class team of data scientists.
- Define 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 scoring
- Steer 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 projects
- Execute 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 initiatives
- Tell 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 stakeholders
- Drive 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
Other
- A track record of building and leading high-performing data science teams in a fast-paced environment
- Master's degree or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline
- Extensive experience (10+ years) in data science with a clear progression into leadership roles (5+ years), demonstrating success across multiple domains (e.g., product analytics, marketing science)
- Proven ability to take ownership of ambiguous, complex problems and deliver concrete outcomes through a combination of technical rigor and strategic thinking
- An innate ability to build strong, collaborative relationships with cross-functional partners, establishing yourself and your team as trusted advisors
- Foster a culture of intellectual curiosity, rigorous execution, and deep business partnership
- Translate sophisticated model outputs and analytical insights into clear, compelling narratives for executive audiences
