Position: Manager of Data Science

We're seeking an experienced Manager of Data Science to lead, expand, and inspire a high-performing team of data scientists. This pivotal role will shape our data science strategy, establish best-in-class practices, and drive collaboration across departments such as Product Management, Consumer Insights, and Engineering.

The ideal candidate is a hands-on leader with deep expertise in Large Language Models (LLMs), Machine Learning, MLOps, and Data Science, and who can turn visionary ideas into scalable, data-driven solutions.

Key Responsibilities

Team Leadership & Development

• Hire, mentor, and lead a team of data scientists.
• Foster a collaborative, inclusive, and high-performance culture.
• Support continuous learning and career development.

Strategic Vision & Execution

• Define the vision, roadmap, and success metrics for the Data Science function.
• Translate business needs into actionable data science initiatives.
• Partner with executive leadership to shape long-term data strategies.

Practice Building

• Establish scalable methodologies, workflows, and best practices.
• Champion innovation with LLM-based solutions that enhance decision-making and operational performance.
• Stay abreast of emerging trends and technologies, integrating them into team practices.

Cross-functional Collaboration

• Work closely with Product Managers, Designers, Engineers, and other stakeholders to align efforts and priorities.
• Act as a bridge between technical teams and business units to ensure clarity and alignment.

Operational Excellence

• Oversee the full project lifecycle-from ideation to execution.
• Ensure high-quality, timely, and impactful outcomes.
• Monitor and optimize team performance and delivery.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field (Ph.D. preferred).
• 7+ years of experience in Data Science, including 3+ years in a leadership role.
• Hands-on expertise in LLMs, data mapping, transactional mapping, and machine learning workflows.
• Proven success in building and scaling data science teams and delivering results.
• Strong understanding of data pipelines, AI systems, and MLOps practices.
• Excellent leadership, communication, and cross-functional collaboration skills.