Senior Manager, Data Science - Foundational Models

Responsibilities

• Champion cutting-edge machine learning and AI techniques to improve holistic client engagement, personalization, and overall growth.
• Represent our core algorithmic capabilities in cross-functional forums, including with our executive leadership team, synthesizing business requirements and translating technical solutions with radical transparency and a solution-oriented mindset.
• Lead and inspire a team building transformative capabilities at the heart of our company’s value proposition, synthesizing and balancing multiple business objectives.
• Foster a culture of ownership for holistic business outcomes within the team, encouraging proactive engagement with cross-functional partners.
• Drive the development and optimization of our prediction and recommendation algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations for stylists and clients.
• Oversee the end-to-end algorithm development lifecycle—from ideation and experimentation to testing and deployment in a production environment.
• Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines.
• Implement industry best practices for team collaboration, code quality, use of AI, and data management.
• Stay up-to-date with the latest trends and advancements in AI-assisted development, AI-enabled product experiences, machine learning, and fashion technology.

Requirements

• Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s or PhD preferred.
• 5+ years of experience in design and deployment of machine learning algorithms, ideally in retail applications of deep learning and recommendation systems.
• 2+ years of experience in a direct people management role, with a track record of inspiring and motivating direct reports, and connecting team priorities to business objectives.
• Ability to write and review production-grade code, ideally in Python.
• Applied knowledge of AI-assisted coding best practices and development of agentic product solutions.
• Excels at building trust with your team, stakeholders, and technical partners.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
• Experience with online A/B testing, experimentation frameworks, and performance metrics.
• Familiar with cloud-based infrastructure and distributed data systems.