About the company Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. 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.
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.
Job description
At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers --- we are constantly iterating and innovating our product offering to create more value for the ecosystem.
You will be working closely with other data scientists, engineers, and product managers to drive projects that derive value from our unique, rich, and rapidly growing data on two sided marketplace. You will lead projects that enable software driven machine learning deployment to improve Faire’s core metrics.
What you will be doing:
Leverage machine learning to optimize Faire’s two-sided marketplace dynamics
Design, build and scale Real-Time and Batch processing pipelines to compute features, perform inference, and make decisions
Improve Faire’s credit portfolio by evaluating creditworthiness of retailers on Faire’s platform; use predictive modeling to dynamically assign credit limits that minimize default risk and maximize growth.
What it takes:
An advanced degree (MS or PhD) in a relevant discipline such as Computer Science, Machine Learning, or another similar field.
1+ years of experience in software engineering or building and deploying machine learning models with large datasets
Strong coding skills in Python/Java/Scala or equivalent
Solid understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation
Resourcefulness and proactiveness: track record for executing independent projects and leading complex, multi-functional projects with several dependencies.
Strong communication skills and the ability to work with others in a closely collaborative team environment.
Prior experience solving data problems in two-sided marketplaces is a big plus.
Why you’ll love working at Faire
We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Salt Lake City, Atlanta, Toronto, London, New York, LA, and Sao Paulo
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