Data Scientist

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

Stitch Fix offers a personalized online styling service that uses data and algorithms to provide tailored fashion selections for its clients. It caters to busy professionals and fashion enthusiasts who prefer a convenient shopping experience without the traditional hassles. Clients begin by completing a style profile detailing their size, preferences, and budget. Based on this information, Stitch Fix's stylists, aided by algorithms, curate a selection of clothing and accessories, which are shipped directly to the client's home for them to try on. Clients only pay for the items they choose to keep, while the rest can be returned. Stitch Fix operates on a subscription model, charging a styling fee that can be credited towards purchases, and it also profits from the markup on sold items. The company aims to enhance its offerings with direct buy options and expand internationally, striving to simplify the shopping experience through personalized styling and data-driven recommendations.