Data Scientist for Local Retail Growth

2 days ago


San Francisco, California, United States Faire Inc Full time

About Faire Inc.
Faire is an online wholesale marketplace built on the belief that local communities are thriving. Independent retailers generate more revenue than big box stores and e-commerce giants combined, but individually they face significant challenges. At Faire, we use technology and data to connect entrepreneurs from around the world. Our mission is to empower small businesses to compete with larger entities.

Our team of experienced data scientists and machine learning engineers develops solutions related to discovery, ranking, search, recommendations, ads, logistics, and underwriting. These innovative technologies help local retail thrive in a rapidly changing market.

You'll be part of our Discovery Data team, working on cutting-edge search, personalization, or ads problems. You'll combine various data sources about retailers, brands, and products to drive business growth.

We're looking for talented individuals with 4+ years of industry experience using machine learning to solve real-world problems. Strong programming skills and deep learning expertise are essential. You should also be able to contribute to team strategy and lead model development without supervision.

Apart from your technical skills, you should have excellent communication skills and be able to work collaboratively with others. Experience with state-of-the-art algorithms and a willingness to learn new tools and techniques are also highly valued.

This role will offer a competitive salary of $193,750 per year, as well as equity and benefits. You'll work on-site two days a week and have flexibility to work remotely up to four weeks annually.

If you believe in empowering local communities through technology and innovation, this may be the opportunity for you.


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