Data Scientist - Decisions & Insights
Job Description
About Stitch Fix, Inc.
Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.
About the Team
Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Decisions & Insights team is at the heart of this innovation, utilizing experimentation and causal inference to power personal style. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work – from initial research to model development – combining best-in-class algorithms with expert human judgment. In our data-rich environment, your work will directly influence how millions of clients discover what they love, driving the company’s bottom line through technical excellence.
Consisting of data scientists from diverse backgrounds, our specific mission is to empower stakeholders with objective, high-impact insights and novel self-service tools. We go beyond reporting "what" happened to provide a clear understanding of “why” results occur, enabling more informed decision-making across the organization. Collaboration is core to our success; we are currently building the next generation of intelligent, AI-enabled analytical and experimentation platforms. These tools provide partners in Styling, Client Support, Marketing, and Engineering with the specialized capabilities they need to solve the company’s most complex business problems.
About the Role
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.
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.
You're excited about this opportunity because you will…
- Develop sophisticated statistical models that provide causal insights to solve complex, large-scale business challenges.
- Own and evolve analytical strategies, from defining success metrics to translating complex results into clear executive narratives.
- Mentor and guide other data scientists, raising the bar for modeling, experimentation, and engineering excellence across the team.
- Partner with Client Support, Styling, and Product teams to build reliable data products and self-service tools that empower stakeholders.
- Tackle ambiguous, high-impact problems, bringing structure and technical leadership to drive innovative solutions from inception to completion.
- Leverage rich, multi-modal datasets spanning client behavior and merchandise attributes to uncover insights that power the next generation of styling decisions.
We’re excited about you because…
- You have 2+ years of experience in a data science role, ideally within the e-commerce or retail industry.
- You hold a Bachelors or Masters degree in Statistics, Data Science, Computer Science, or a related quantitative field.
- You are proficient in Python or R and have experience writing SQL in collaborative, production-oriented environments.
- You are a strong communicator who can simplify complex technical concepts to drive alignment and action with business partners.
- 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.
- You thrive in ambiguity, with a proven ability to own and drive projects from initial concept to delivery.
- You have a solid foundation in experimentation and causal inference, with the ability to link model performance directly to business outcomes.
- You are curious, pragmatic, and motivated to continuously raise the bar for technical excellence for yourself and your team.
Why you'll love working at Stitch Fix...
- 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.
- 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.
Compensation and Benefits
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.
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