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 notification and recommender systems, advertising attribution, and LTV predictions. 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. As a tech lead within the Retailer Growth Data Science team, you will develop ML systems that help activate new retailers and increase their engagement. Because our users are businesses, there is a wealth of information about them that can be consumed by ML models to personalize the new user experience, even in their first session. In addition to the huge number of products and brands on our platform, we offer an array of other value props, such as net terms, free shipping, and integrations. In order to help retailers get the most from this ecosystem, we use a variety of incentives and nudges, which can be optimized and personalized through ML solutions. You will also build ML systems to re-engage retailers through personalized marketing and develop intelligent recommendations that identify gaps in retailers' product assortments to drive increased purchasing. These challenging problems offer exciting opportunities to create significant business impact through advanced personalization techniques. You will drive data science strategy and execution and you will work closely with cross-functional stakeholders and mentor senior data scientists to deliver results.