Applied Scientist - Assortment Recommendation | Applied Scientist - Assortment Recommendation (all genders)

Job Summary

This role is for an Applied Scientist focused on optimizing assortment recommendations to enhance the customer shopping experience and improve stock management for a leading e-commerce platform. The successful candidate will join a team of applied scientists and engineers, contributing to the development of next-generation forecast models that inform crucial stock planning decisions. Day-to-day responsibilities include active participation in roadmap definition, collaborating with product managers and engineers, and building expertise in uncertainty measures for ML models. The position requires end-to-end technical ownership, from prototyping production-friendly solutions to managing training components in production, utilizing common programming tools and data science libraries. This is an exciting opportunity for a professional with a strong quantitative background and practical experience in developing impactful machine learning data products.