Staff Data Scientist - Recommendation Algorithms

At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.

The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix’s total addressable market. In doing so, this team builds assortments that delight our clients while at the same time explore a client’s stylistic preferences and drive client engagement.

In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market. 

This role has a tremendous and direct impact on the business’ bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders.

• Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations
• Manage experiments to test new features, including any communication of the experiments’ results to stakeholders, and support the eventual launch of the feature
• Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, genAI, or any other state of the art technique.
• Productionize models and systems partnering with our data platform team for real-time applications
• Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs
• Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure

• You have a solid understanding in modeling and experimentation
• You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python
• You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field.
• You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners 
• You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers
• You are innovative and inspired to take on new challenges and you do not shy away from potential failure
• You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here

• 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.