Data Science Senior Manager, Recommendation Algorithms

Summary

Join Stitch Fix, a leading online personal styling service, as an experienced Algorithms Team Manager to lead a team of machine learning engineers and data scientists. You will play a pivotal role in shaping the future of fashion technology by driving the development and deployment of styling algorithms that enhance the client experience. This position offers the opportunity to directly influence product strategy, drive measurable business impact, and lead a team building transformative capabilities at the heart of Stitch Fix's value proposition. You will be responsible for developing and optimizing style recommendation algorithms, collaborating with cross-functional teams, overseeing the algorithm development lifecycle, and managing key algorithmic projects. This role requires a strong background in machine learning, data science, and algorithm design, particularly in areas related to fashion, recommendations, or personalization. You will also need experience with A/B testing, experimentation frameworks, and performance metrics, as well as familiarity with cloud-based infrastructure and distributed systems.

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 style recommendation 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

• We are a group of bright, kind people who are motivated by challenge
• We value integrity, innovation and trust
• We cultivate a community of diverse perspectives— all voices are heard and valued
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships
• We boldly create the future while keeping equity and sustainability at the center of all that we do
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact
• We offer comprehensive compensation packages and inclusive health and wellness benefits
• This role will receive a competitive salary, benefits, and equity
• The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas
• A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance
• This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance
• In addition, the position is eligible for medical, dental, vision, and other benefits