<div><strong><strong>About the Role</strong></strong><br/><br/>In this role, you will partner with Client Support and Styling stakeholders, providing the analytical and technical expertise needed to turn data into actionable business strategy. You will design, execute, and analyze experiments and observational studies that uncover key insights for the company.<br/><br/>A core focus of this position is providing training and guidance on self-service tools and platforms, ensuring partners can confidently navigate dashboards and reports to inform their workflows. We are looking for a strong communicator with a rich analytical background. As part of a high-visibility team, you will support cross-company innovation in how we evaluate and use data, driving impactful projects from Day 1.<br/><strong><strong>You're excited about this opportunity because you will...</strong></strong><br/><ul><li>Develop sophisticated statistical models that provide causal insights to solve complex, large-scale business challenges. </li><li>Own and evolve analytical strategies, from defining success metrics to translating complex results into clear executive narratives.</li><li>Mentor and guide other data scientists, raising the bar for modeling, experimentation, and engineering excellence across the team.</li><li>Partner with Client Support, Styling, and Product teams to build reliable data products and self-service tools that empower stakeholders.</li><li>Tackle ambiguous, high-impact problems, bringing structure and technical leadership to drive innovative solutions from inception to completion.</li><li>Leverage rich, multi-modal datasets spanning client behavior and merchandise attributes to uncover insights that power the next generation of styling decisions.</li></ul><strong><strong>We're excited about you because...</strong></strong><br/><ul><li>You have 2+ years of experience in a data science role, ideally within the e-commerce or retail industry.</li><li>You hold a Bachelors or Masters degree in Statistics, Data Science, Computer Science, or a related quantitative field. </li><li>You are proficient in Python or R and have experience writing SQL in collaborative, production-oriented environments.</li><li>You are a strong communicator who can simplify complex technical concepts to drive alignment and action with business partners.</li><li>You know how to leverage AI tools to streamline day-to-day tasks like testing and problem-solving, actively documenting effective prompts and sharing learnings to build scalable, repeatable workflows.</li><li>You thrive in ambiguity, with a proven ability to own and drive projects from initial concept to delivery.</li><li>You have a solid foundation in experimentation and causal inference, with the ability to link model performance directly to business outcomes.</li><li>You are curious, pragmatic, and motivated to continuously raise the bar for technical excellence for yourself and your team.</li></ul><strong><strong>Why you'll love working at Stitch Fix...</strong></strong><br/><ul><li>We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix.</li><li>We cultivate a community of diverse perspectives- all voices are heard and valued.</li><li>We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. </li><li>We win as a team, commit to our work, and celebrate grit together because we value strong relationships.</li><li>We boldly create the future while keeping equity and sustainability at the center of all that we do. </li><li>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.</li><li>We offer comprehensive compensation packages and inclusive health and wellness benefits.</li></ul><br/><br/><strong>Compensation and Benefits</strong><br/><br/>This role will receive a competitive salary and benefits. 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. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.<br/><br/>Salary Range<br/><br/>$112,500-$144,000 USD<br/><br/></div>