Data Science Intern

<div class="content-intro"><p><span style="font-weight: 400;"><strong>About Faire</strong></span></p> <p><span style="font-weight: 400;">Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.</span></p> <p><span style="font-weight: 400;">By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. </span></p></div><p><strong>About this role:</strong></p> <p>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.</p> <p>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.</p> <p>We have a few openings in the Data organization available</p> <p><strong>Search</strong>: <em>Experience working with GenAI and LLMs for search optimization, query understanding, retrieval and ranking. </em><br><br><strong>Personalization</strong>: <em>Experience with personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit and diversification.</em></p> <p><strong>Retailer Growth</strong>: <em>Experience developing machine learning solutions to drive growth through paid marketing bidding, targeting efficiency and sitemap optimization preferred. </em></p> <p><strong>Retailer Products</strong>: <em>Experience with predictive modeling, Redshift and Mode Analytics preferred</em></p> <p>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.</p> <p>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.</p> <p><strong>What you will be doing:</strong></p> <ul> <li>Define, plan and execute cutting-edge machine learning or other new algorithms that will be a/b tested with guidance from a manager or technical lead</li> <li>Communicate project objectives and results clearly, both within the group as well as to the broader team</li> <li>Tackle complex issues inherent in managing a two-sided marketplace. Your ability to identify and address these challenges will be critical to our continued growth and success</li> </ul> <p><strong>What it takes:</strong></p> <ul> <li>We are open to currently enrolled Master’s PhD students and recent Master’s PhD graduates, who have an academic focus in Computer Science, Operations Research, Statistics, Econometrics or a related technical field</li> <li>Hands on experience with real datasets and familiarity using python, sklearn, numpy, pandas, and SQL</li> <li>Familiarity with various machine lear ... (truncated, view full listing at source)