Data Science Intern

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

We have several Intern positions in the following 3 fields:

1. Personalization (Recommendations, Ranking, Search)
2. Growth & Experimentation
3. Marketplace Optimization and Underwriting

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.

Our internships are paid and 12-to-14 weeks in duration.

We have flexible start dates, are open for extensions, and ultimately hope that interns can convert into full-time employees with our team.

What you will be doing:

• Define, plan and execute cutting-edge machine learning or deep learning research applied to ranking, search, retrieval, or recommendations
• Develop new algorithms that will be a/b tested and should achieve state-of-the-art accuracy
• Communicate the experimental results clearly, both within the group as well as to the broader team
• Be comfortable with pytorch, python, sklearn, numpy, pandas, SQL; and have familiarity with Statistics (Bayesian methods, experimental design, causal inference)

What it takes:

• You are entering the final year of your MS & PhD in 2022 , with a focus in Machine Learning, Computer Science, Mathematics, Statistics, Econometrics or a related technical field
• Growth & Experimentation Team:
  • Experience with statistical modeling, hypothesis & A/B testing, and experimentation frameworks
• Marketplace Risk & Optimization:
  • Experience with predictive modeling related to forecasting demand and supply to enable optimal pricing strategies to help increase Faire’s resale channel sales, or
  • Experience working on datasets related to financial products such as creditworthiness 
• Personalization Team:
  • Experience in developing machine learning solutions for ranking, search, retrieval, or recommendations
• A track record producing academic papers that have been showcased in top journals or conferences

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.