Data Scientist - Experimentation Platform

About Faire

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 through online experimentation. 

You will form part of the broader Data Infrastructure team that is the backbone of all data-related processes at Faire. As a member of the Experimentation Platform, you will be working closely with other data scientists, engineers, and product managers to develop new features that will enable Faire to make data-informed decisions, while moving quickly. We care about having a reliable platform with quality data and high statistical rigor. 

What you will be doing:

• Researching and adapting statistical techniques to enable faster and more reliable experimentation
• Working with data engineers to implement new features and statistical methods into the data pipelines that power the Experimentation Platform
• Contributing to data education, as well as championing best practices in interpreting experiment results and using them to inform business decisions
• Consulting on complex experimentation designs for teams across the organizations

What it takes:

• Advanced degree in any number of relevant disciplines across STEM fields, Operations Research, and Business.
• 1-3 years of industry or academic experience using experimentation and causal inference to solve real world problems with large datasets.
• Enthusiasm for building tools and processes to facilitate rigorous statistical analysis
• 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 growth marketing initiatives to the organization. 
• Proficiency with Python / R and SQL.

Additional Information

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.

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. 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.