Staff Data Scientist / Machine Learning Engineer - Listing Quality

Who you are

You have a strong background in machine learning and data science, with at least 5 years of experience in building and deploying models that drive business impact. Your expertise in Python and SQL allows you to manipulate data effectively and derive actionable insights. You are passionate about using technology to empower small businesses and have a keen understanding of the wholesale marketplace dynamics. You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex problems. You are committed to continuous learning and staying updated with the latest advancements in machine learning and data analytics. You believe in the power of data to transform industries and are excited about the opportunity to make a difference in the retail sector.

What you'll do

As the Staff Machine Learning Engineer at Faire, you will lead initiatives to improve the quality of product listings on our platform. You will design and implement machine learning algorithms that enhance the user experience for independent retailers. Collaborating closely with the data science team, you will analyze large datasets to identify trends and patterns that inform product recommendations. You will also be responsible for maintaining and optimizing existing models to ensure they perform at their best. Your role will involve mentoring junior team members and sharing your knowledge of best practices in machine learning. You will work on projects that directly impact the success of our marketplace, helping small businesses compete against larger entities. You will engage with stakeholders to understand their needs and translate them into technical requirements. Your contributions will play a crucial role in shaping the future of our platform and supporting the growth of local businesses.

What we offer

At Faire, we offer a collaborative and inclusive work environment where your ideas are valued. You will have the opportunity to work on meaningful projects that have a positive impact on communities. We provide competitive compensation and benefits, along with opportunities for professional development. Our culture encourages innovation and creativity, allowing you to explore new technologies and approaches in your work. Join us in our mission to empower independent retailers and make a difference in the wholesale industry.