Senior Data Scientist
1 week ago
Developing and maintaining Machine Learning infrastructure that powers our ranking models, member apps, inventory classification, etc. Our preferred language is Python and you'll regularly be working with real-time information from Kafka streaming systems.
Researching, developing, and implementing predictive algorithms using various regression techniques, deploying them as real-time APIs in our micro-service infrastructure.
Utilizing Natural Language Processing to understand text content across products, including reviews and interactions between users, stylists, and products.
Using Computer Vision (OpenCV) for image content analysis of novel and existing clothing items: classification, quality, attractiveness, similarity, extraction of features for ranking models.
Identifying suspicious transactions and malicious users for Fraud. Can you beat SaaS fraud platforms? We’re betting so.
Determining the optimal inventory levels to help us effectively manage inventory needs while meeting revenue goals.
Using a range of clustering techniques to identify latent clusters of customers based on purchases, demographics, styles, etc.
Brainstorming new tools to help minimize the risk of experimenting with new algorithms.