Key Responsibilities include designing, building and deploying scalable recommendation engines using collaborative filtering, content-based methods or hybrid approaches. Develop user profiling models using clickstream and behavioral data. Leverage AI-driven product tagging to enhance metadata quality and retrieval. Analyze macro and micro fashion trends to influence product rankings.
* Design, build and deploy scalable recommendation engines using collaborative filtering, content-based methods or hybrid approaches.
* Develop user profiling models using clickstream and behavioral data.
* Leverage AI-driven product tagging to enhance metadata quality and retrieval.
* Analyze macro and micro fashion trends to influence product rankings.
About this Role
* This is a unique opportunity for skilled Data Scientists with strong experience in building recommendation systems to join our growing team.
* The ideal candidate will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
Required Skills and Qualifications
* 2+ years of experience in data science ideally in e-commerce or consumer-tech.