Data Scientist

**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: Data Scientist - Search & Recommendation, Machine Learning**

Faire is using machine learning to change wholesale and help local retailers compete with Amazon and big box stores. Our experienced data scientists and machine learning engineers are developing solutions related to discovery, ranking, search, recommendations, logistics, underwriting, and more - all with the goal of helping local retail thrive.

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.

As a member of Search for the Data Science team you'll be responsible for developing machine learning-powered search ranking models and adding personalization to our search and discovery. You'll determine answers to questions like, how relevant is this product to this retailer and how can we infer that in real-time? Can we create real-time embeddings of users' interests and use them to power rankings? How can we improve purchase flow? What techniques can we use to enable our A/B tests to more quickly converge when dealing with low sample sizes?

Our team already includes experienced Data Scientists and Machine Learning Engineers from Uber, Airbnb, Square, Facebook, and Pinterest. 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 search query and understanding problems combining a wide variety of data about our retailers, brands and products
- You want to use machine learning to help local retailers and independent brands succeed
- You want to be a foundational team member of a fast growing company
- You like to solve challenging problems related to a two-sided marketplace

**Qualifications**
- 1+ years of industry experience using machine learning to solve real-world problems
- Experience with search/query processing for product development
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- Experience with relational databases and SQL
- The ability to contribute to team strategy and to lead model development without supervision
- Strong communication skills and the ability to work with others in a closely collaborative team environment

**Great to Haves**:

- Highly recommended: Master's or PhD in Computer Science, Statistics, or related STEM fields
- Ability to quickly implement state of the art algorithms from an academic paper

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.
- Faire's flexible work model aims to meet the needs of our diverse employee community by making work more flexible, connected, and inclusive. Depending on the role and needs of the team, Faire employees have the flexibility to choose how they work-whether that's mainly in the office, remotely, or a mix of both._
- Roles that list only a country in the location are eligible for fully remote work in that country or in

**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 har