Role Overview
Faire is hiring a Senior Data Scientist - Retail Growth & ML (Hybrid+Equity). This is a full-time hybrid role, based in Toronto. Part of Faire's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Join a forward-thinking company that leverages machine learning and data insights to empower local retailers. As a Data Scientist, you'll tackle diverse challenges, from optimizing logistics to enhancing retailer growth through predictive modeling. Collaborate with a talented team to unlock value from a rapidly growing marketplace.
This innovative firm is dedicated to supporting independent businesses and driving positive economic impact in local communities. If you're passionate about entrepreneurship and technology, this is the perfect opportunity to make a difference.
Frequently Asked Questions
How do I apply for the Senior Data Scientist - Retail Growth & ML (Hybrid+Equity) position at Faire?
Use the Apply button above to submit your application directly to Faire. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Data Scientist - Retail Growth & ML (Hybrid+Equity) role at Faire remote or in-office?
This is a hybrid role based in Toronto. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.
What does a Senior Data Scientist - Retail Growth & ML (Hybrid+Equity) at Faire earn?
Faire has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Data Scientist - Retail Growth & ML (Hybrid+Equity) role at Faire posted?
This role was posted on April 16, 2026 (53 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Scientist - Retail Growth & ML (Hybrid+Equity) role at Faire require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Faire lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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