Senior Data Scientist - Underwriting

| San Francisco
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Faire is an online wholesale marketplace built on the belief that the future 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 tech, data, and machine learning to connect a thriving community of over 100,000 brands and local retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses can compete with these big box and ecommerce giants. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement.

Job Description

The Data Science team owns a wide variety of algorithms and models that power the marketplace. We care about building machine learning models that help our customers thrive. The data science team helps answer questions like; How do we underwrite retailers with thin files? How do we optimally assign term limits to Faire retailers? How to minimize the risk of defaults while maximizing the share of wallet growth driven by net terms? What data sources should we invest in to improve the performance of our credit models?

We’re looking for someone who’s comfortable working on the cutting edge of machine learning research. You’re happy working autonomously and delivering results without micromanagement. You wake up ready to take a problem end-to-end, dive into the guts of our information-rich databases, and produce actionable insights. You can’t wait to push the boundaries and discover the next big thing, then share it with your peers. You are, or will be, world-class in credit risk and help lead the wider data community. Faire will soon be known as a top destination for data scientists and machine learning, and you will help take us there!

You’re excited about this role because…

  • You’ll be able to work on cutting edge credit underwriting problems combining a wide variety of data about our retailers, makers and products
  • You are passionate about solving problems in the FinTech space with innovative machine learning techniques and using alternate data sources for risk management
  • You want to use machine learning to help local retailers and independent makers succeed
  • You want to be a foundational member of a fast-growing company

Qualifications

  • 3+ years of industry experience in developing, testing, and validating credit risk models in the financial services industry
  • Experience applying with either boosted trees models, decision trees, or other models to solve credit underwriting problems
  • Strong skills in statistics, probability, and/or machine learning
  • A track record of solving problems using data science. The tooling/language isn’t important. (e.g., numpy, pandas, scikit-learn, R, etc.)
  • Experience with relational databases and SQL
  • Relentless resourcefulness and the ability to thrive in a startup -- you’re willing to do what needs to be done for the success of your team
  • The ability to self-regulate and get stuff done with minimal direct supervision
  • Strong communication skills and the ability to work with others in a closely collaborative team environment.
  • Nice to have: 
    • MSc or PhD in any mathematical or statistical subject, e.g.: mathematics, statistics, computer science, astrophysics, neuroscience, operations research, economics, any of the physical sciences
    • Experience with capital markets reporting and credit line management is a plus

What We Offer:

  • We’re growing fast. You will get in on the ground floor of something that’s going to be special.
  • We’re funded by the best VCs in the world.
  • Our founding team is experienced and led the development of one of the top 25 apps in the US App Store (Square Cash). 
  • Great technology stack. It’s fun to work with the best tools and the latest software.
  • The business makes sense. It’s straightforward, provides clear value to both retailers and makers. You get to help change an entire industry for the better.
  • It’s beautiful. Work on something that’s well-designed, following the footsteps of Apple and Square.


Why you’ll love working at Faire: 

  • We are 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 tech and machine learning to level the playing field: We are using the power of technology and data to connect brands and boutiques from all over the world, building a thriving 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: We always find a way to get the job done and come up with creative solutions to whatever problems are standing in our way. People at Faire are insatiably curious. We lead with curiosity and data in our decision making and reason from a first principles mindset. 

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 offices in San Francisco, Kitchener-Waterloo, and Salt Lake City. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. To learn more about Faire and our customers, you can read more on our blog

Faire is being built for entrepreneurs, by entrepreneurs.

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Location

100 Potrero Ave., San Francisco, CA 94103

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