Senior Data Scientist / Machine Learning Engineer - Search & Recommendation - Remote

Overview

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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.

In Short

• Work on machine learning solutions related to search and recommendations.
• Develop machine learning-powered search ranking models.
• Contribute to team strategy and lead model development.
• Experience with search/query processing for product development.
• Strong programming skills and experience with SQL.
• Collaborate in a closely-knit team environment.
• Be part of a fast-growing company focused on local retail.
• Engage in solving challenging problems in a two-sided marketplace.
• Utilize machine learning to help local retailers succeed.
• Work with experienced professionals from leading tech companies.

Requirements

• 4 years of industry experience in data science and machine learning.
• Experience with relational databases and SQL.
• Ability to contribute to team strategy without supervision.
• Strong communication skills.
• Excitement to learn new tools and techniques.

Benefits

• Competitive salary and equity options.
• Flexible work schedule with hybrid options.
• Opportunity to work with a talented team.
• Supportive company culture focused on entrepreneurship.
• Access to resources for professional growth.