Data Science Intern

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for search, personalization, recommender systems, and ranking. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. We have a few openings in the Data organization available: Search: Experience working with GenAI and LLMs for search optimization, query understanding, retrieval and ranking. Personalization: Experience with personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit and diversification. Retailer Growth: Experience with paid marketing spend optimization, search engine optimization, and lifetime value modeling preferred. Financial Products: You will leverage predictive modeling to dynamically assign credit limits balancing the default risk to maximize growth. Shipping & Logistics: You will apply predictive modeling to estimate shipping costs, optimize free shipping coverage for Faire's Insider program and improve cross-border shipping experiences. We're looking for folks with experience working on projects related to the fields above and who are eager to wake up ready to take a problem end-to-end, dive into our information-rich databases, and produce actionable insights. Our internships are paid and 12-to-14 weeks in duration. We have flexible start dates and are open to extending internship durations based on need and mutual fit.