Data Scientist, Risk & Fraud

Data Scientist, Risk & Fraud 🚀 JOIN THE FUTURE OF COMMERCE WITH WHATNOT! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values https://www.whatnot.com/careers and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces https://a16z.com/marketplace-100/ and were recently named the #1 Best Startup Employer in America http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8 by Forbes. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering blogs https://medium.com/whatnot-engineering and join us as we enable anyone to turn their passion into a business and bring people together through commerce. 💻 ROLE In 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: 🔍Generate Insights & Shape Direction - Translate complex data into actionable recommendations for the Fraud engineering and operations teams. - Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance. - Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices. 🧪Drive Experimentation & Measurement - Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform. - Define and own the experimentation playbook for Fraud at Whatnot. - Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing. - Ensure Whatnot’s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains. 🛠 Build Data Products & Tools - Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot. - Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product and platform enhancements. 🤝Lead Cross-Functional Collaboration - Advocate for data-driven decision-making and foster a culture of measurement across the trust & risk organization. - Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions. - Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors. - Serve as a thought leader to Trust & Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform. US Based: We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 👋 YOU People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than cre ... (truncated, view full listing at source)