About Faire

Faire is an online wholesale marketplace built on the belief that the future of retail is local. There are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of technology and data to connect a growing community of over 150,000 brands and independent retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. By empowering entrepreneurs with the right tools and insights, we believe that we can level the playing field so that small businesses can compete with big box and e-commerce giants. 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’ll work on a diverse set of problems such as optimizing reverse logistics and freight costs, determine optimal pricing for products on resale channels, compute optimal credit limits, and grow Faire’s subscription program. 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.

What you will be doing:

• Leverage machine learning to optimize Faire’s membership program by maximizing subscription enrollment while minimizing the program cost.
• Modeling and forecasting demand and supply to enable optimal pricing strategies to help increase Faire’s resale channel sales.
• 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 statistics, economics, econometrics, mathematics, computer science, operations research, etc.
• 3+ years of experience using predictive modeling and analyses to solve real world problems with large datasets
• Resourcefulness and proactiveness: track record for executing independent projects and leading complex, multi-functional projects with several dependencies.
• Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment and evangelize experimentation to the organization. 
• Proficiency with Python / R and SQL.
• 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 over 100,000 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 and Sao Paulo. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.