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Data Scientist - New Graduates (Remote, US, & Canada)


Last Updated: 9/27/22

Job Description

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 offering to create more value for the ecosystem.

On the Data Science team, we’re looking for someone who’s comfortable working on interesting growth, engagement, and retention-related problems across our two-sided marketplace using both cutting edge and proven techniques. As a member of a fast-growing company and team, you will be working closely with other data scientists, engineers, and product managers to provide effective support and work on a number of problems related to helping acquire retailers and brands at scale in an efficient manner and improve retention as well as lifetime value.

What you will be doing:

  • You will help us establishing a working model for properly acquiring, retaining and engaging with either our retail or brand customers.
  • Help develop best practices and implement new statistical methods to improve our experimentation platform
  • Provide Data Science support for growth marketing as well as paid marketing optimization across Google/Facebook ads and improve effectiveness of SEO/SEM efforts.
  • Support the optimization of our new retailer promotion strategy and incentives (free shipping, other promos, etc.) and determine which is most effective.
  • Enhance the product experience for new retailers to help them find the most relevant products and brands.
  • Design and improve our referral and loyalty program through strategic insights and experimentation.
  • Define what success looks like for each brand and identify actionable recommendations to empower brands to achieve their fullest potentials.
  • Improve engagement and retention (lifecycle value) and tuning email/push notifications and other product innovations

What it takes:

  • Advanced degree in any number of relevant disciplines across STEM fields, Operations Research, and Business.
  • Previous industry experience or internship using experimentation, machine learning, and analytics to solve real world problems with large datasets.
  • Experience and excitement in driving growth marketing, engagement, and retention initiatives.
  • Exceptional product and business sense.
  • 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.

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Company Details

San Francisco, California, United States