Data Science Intern
Core
Building and maintaining algorithmic systems for search, personalization, recommendation, and ranking to power a global wholesale marketplace for independent retailers.
Role type
Data Science Intern (Search & Recommendation)
Builds
Algorithmic systems for search, personalization, recommendation, and ranking for a two-sided wholesale marketplace.
Domain
E-commerce / Wholesale / Machine Learning
Deliverable
production ML models
Required skills
Machine learning algorithms, embeddings, sequence models, graph-based methods, contextual bandits, reinforcement learning, A/B testing, large-scale data pipelines, offline evaluation metrics, online experimentation
Preferred skills
Publications in top-tier venues (KDD, RecSys, ICML, NeurIPS, WWW, SIGIR), experience with collaborative filtering, deep recommenders, ranking, representation learning, sequential models (RNNs, Transformers), large-scale or production datasets
Technologies
RNNs, Transformers, contextual bandits, reinforcement learning
Responsibilities
Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions; Navigate the complexity of a two-sided marketplace, identifying and addressing unique challenges at the intersection of retailer and brand needs.
Seniority
Intern
