Elevate Local Retail with Data Science

5 days ago


Old Toronto, Canada Faire Full time

About Faire

Faire is an e-commerce platform built on the premise that local retailers have a significant impact on the economy. By leveraging technology and data, we aim to level the playing field for independent businesses.

We're using machine learning to develop solutions that help local retailers compete with larger companies. Our experienced team of data scientists and engineers are working on various projects, including discovery, ranking, search, recommendations, ads, logistics, and underwriting.

As a member of our Discovery Data team, you'll be responsible for one of the following areas:

  • Search: Optimizing search through query understanding, retrieval, ranking, post-ranking, and whole-page optimization using state-of-the-art technologies like embeddings, graph learning, deep learning, and large language models (LLMs).
  • Ads / Sponsored Products: Joining a newly established team building Ads Delivery and Advertiser Optimization from scratch, tackling challenges in ads targeting, retrieval, prediction/ranking, bidding, pacing, and auction design.

Our team consists of experienced professionals from top tech companies, including Uber, Airbnb, Square, Facebook, LinkedIn, and Pinterest. You'll work on cutting-edge search, personalization, and ads problems, combining a wide variety of data about our retailers, brands, and products.

You'll use machine learning to help local retailers and independent brands succeed. You'll be a foundational team member of a fast-growing company and enjoy solving challenging problems related to two-sided marketplaces.

**Qualifications:**

  • 5+ years of industry experience using machine learning to solve real-world problems.
  • Experience with leading cross-team and cross-functional technical strategy and roadmap, solving long-term open-ended problems, and consistently driving significant business impact.
  • Strong programming skills.
  • An excitement and willingness to learn new tools and techniques.
  • Experience with deep learning.
  • The ability to contribute to team strategy and lead model development without supervision.
  • Strong communication skills and the ability to work with others in a closely collaborative team environment.

**Salary Range:** The estimated salary for this role is $220,000 - $300,000 per year.

This role will be in-office on a hybrid schedule, with 2 days per week in the office and flexibility to work remotely up to 4 weeks per year.

We're committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, services, programs, and activities.



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