Whatnot is a livestream shopping platform and marketplace. We’re building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote-first team, we operate out of hubs within the US, Canada, UK, Ireland, and Germany today.We’re innovating in the rapid-paced world of live auctions in categories including sports, fashion, video games, and streetwear. The platform couples rigorous seller vetting with a focus on community to create a welcoming space for buyers and sellers to share their passions with others.And, we’re growing. Whatnot has been the fastest growing marketplace in the US over the past two years and we’re hiring forward-thinking problem solvers across all functional areas.RoleIn order to continue this growth, it’s important that Whatnot remains a safe and trusted space to interact and transact.



We’re looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will:Create rules and systems to enhance the full lifecycle of risk and fraud measurement. This can include: chargeback prevention, refund abuse detection and reduction, and measurement to capture the tradeoffs in reducing fraudulent and unsafe behavior on the platformDefine and own the experimentation playbook for Fraud at Whatnot.Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.Build actionable KPIs, create production-quality dashboards and notebooks to convey insights.Define and advance best practices to enable system-level solutions to reduce fraud and

📌 Data Scientist, Risk & Fraud (Toronto)
🏢 Whatnot
📍 Toronto