Whatnot Data Scientist

Whatnot

Join Whatnot as a Data Scientist focused on risk and fraud, developing fraud detection systems and collaborating with engineering teams.

Last checked on September 9, 2026. We may earn a commission when you click through.

✓ Focus on innovative fraud detection techniques ✓ Opportunity to lead significant projects ✓ Collaborative work environment

Whatnot Data Scientist

Whatnot

Updated 13 days ago

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Toronto

This position is ideal for seasoned data professionals passionate about fraud prevention. The collaborative nature of the role offers growth opportunities, but the absence of salary details could deter applicants.

About this role

Join Whatnot as a Data Scientist focused on risk and fraud, developing fraud detection systems and collaborating with engineering teams.

About the Company

Whatnot is a leading online marketplace that connects buyers and sellers through live auctions, specializing in collectibles and rare items.

Key Highlights

✓ Lead initiatives in fraud experimentation
✓ Create KPIs and insightful dashboards
✓ Collaborate across engineering and operations
✓ Enhance anti-fraud strategies

💡 Honest Take: The role's emphasis on collaboration means you'll often juggle cross-departmental projects, which can lead to conflicting priorities. The lack of disclosed salary may deter some experienced candidates who expect transparency.

Pros

✓ Focus on innovative fraud detection techniques
✓ Opportunity to lead significant projects
✓ Collaborative work environment

Cons

✗ No salary details provided
✗ Potentially conflicting priorities across teams
✗ Requires significant experience

Best For: Mid to senior-level data professionals looking to make a significant impact in fraud prevention in a fast-paced environment.

Watch Out: The role may involve dealing with shifting priorities and expectations due to its collaborative nature across multiple teams.

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Expert Review

This position at Whatnot focuses on crafting systems for effective fraud detection, which is critical e-commerce landscape. With a strong emphasis on collaborative efforts, the role could appeal to data scientists who thrive in a team-oriented environment. However, the lack of disclosed salary details might raise concerns for candidates who value transparency in compensation.

Building KPIs and insightful dashboards will challenge your analytical skills while enhancing your understanding of fraud dynamics. The real-world impact of your work could be significant, as effective fraud detection directly contributes to the platform's integrity. While the role promises engaging challenges, the absence of specified salary ranges can be a dealbreaker for some.

Potential candidates should weigh these factors carefully before applying. For more details, visit Whatnot's job listing.