New Data Scientist - Recommendation Algorithms

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. You'll support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations. This includes managing experiments to test new features, communicating the experiments’ results to stakeholders, and supporting the eventual launch of features, and solving problems related to recommendation ranking and assortment generation, potentially using tools like deep learning, weighted re-ranking, and genAI. You will also productionize models and systems partnering with our data platform team for real-time applications, leverage data about clients, merchandise, and interactions to identify and solve client needs, and work with product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure.