Principal Full-Stack Data Scientist - Recommendation Algorithms

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Full-Stack Data Scientist - Recommendation Algorithms in the United States.

This role sits at the intersection of advanced machine learning, recommendation systems, and product innovation, shaping how millions of users discover personalized outfits. You will lead the development of next-generation outfit completion models that combine user preferences, stylist expertise, and large-scale behavioral data. The position involves designing and deploying deep learning-driven recommendation systems that optimize relevance, diversity, and contextual awareness across fashion experiences. You will own the full lifecycle of ML systems, from problem framing and experimentation to production deployment and continuous optimization. Working closely with product, engineering, and design teams, you will help define the future of personalized retail experiences. This is a high-impact technical leadership role where your models directly influence user engagement and business outcomes.