Data Science Manager

Summary

Join Stitch Fix's Styling Algorithms Team as a Team Manager to lead a group of machine learning engineers and data scientists. You will directly influence product strategy using data-driven insights, drive measurable business impact through data science, and lead a team building transformative capabilities. Responsibilities include driving the development and optimization of styling algorithms, collaborating with cross-functional teams, overseeing the algorithm development lifecycle, and implementing best practices. The ideal candidate possesses a strong background in machine learning, data science, and algorithm design, with experience in leadership and A/B testing. Stitch Fix offers a competitive salary, benefits, and equity, fostering a collaborative and innovative work environment.

Requirements

• Excel at building trust with your team, stakeholders, and technical partners
• Have excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences
• And know how to achieve alignment without resorting to micromanagement
• Have a strong background in machine learning, data science, and algorithm design, preferably in areas related to fashion, recommendations, or personalization (5+ years of experience, with at least 2 years in a leadership/management role)
• Have experience with A/B testing, experimentation frameworks, and performance metrics
• Are familiar with cloud-based infrastructure and distributed systems

Responsibilities

• Directly shape product strategy: Leverage data-driven insights to influence Stitch Fix’s broader business and enhance the client experience
• Drive measurable business impact: Utilize data science to improve client engagement, personalization, and overall growth
• Lead a team building transformative capabilities at the heart of our company’s value proposition
• Drive the development and optimization of styling algorithms, ensuring they provide personalized, relevant, and engaging fashion recommendations
• Collaborate with product managers, data scientists, UX/UI designers, and business leaders to define key performance metrics and product goals
• Oversee the end-to-end algorithm development lifecycle—from ideation and experimentation to testing and deployment
• Manage the prioritization and execution of key algorithmic projects while balancing business needs, technical feasibility, and timelines
• Implement best practices for team collaboration, code quality, and data management
• Stay up-to-date with the latest trends and advancements in AI, machine learning, and fashion technology
• Provide continuous feedback and foster a growth-oriented culture within the team
• Establish a clear vision and roadmap for the development of styling algorithms and continuously drive improvements based on data-driven insights

Benefits

• Competitive salary
• Benefits
• Equity
• New hire and ongoing grants of restricted stock units
• Medical, dental, vision, and other benefits