Principal Data Scientist, Cloudflare

• Fraud and bots at scale. You have experience across fraud, abuse, and/or bot detection on large, high-velocity traffic. You may focus on one, but you transfer instincts between them
• Strong fundamentals, fluent in data. You have solid applied statistics, machine learning, and AI methodology fundamentals. You choose the right technique for the problem, and are fluent with large-scale data
• You have at least 8-10 years of experience professionally working in Data Science, ML Engineering, or Software Engineering
• Demonstrated ability to make ambiguous, high-stakes technical decisions with incomplete information
• You are very comfortable with Python & SQL in production environments

Desirable

• Cloudflare’s Engineering Team is home to some of the industry’s top engineers, dedicated to building and scaling innovative software that handles a huge proportion of the Internet. Our Detection department sits at the heart of that mission: we identify automated, fraudulent, and malicious activity across the Internet and through our gateway
• We develop advanced detection systems and machine learning models that operate at scale, collaborating with Product and Engineering teams across the company to protect our customers and stay ahead of the constantly evolving threat landscape
• Lead the research, design, and evaluate detection models that identify automated, fraudulent, and malicious activity across Internet-scale data
• Mentor others in how to uncover patterns and behaviors that distinguish adversaries from legitimate users
• Own the detection measurement framework, defining metrics and evaluation strategies for problems where ground truth is noisy, delayed, or contested
• Drive adoption of promising AI/ML techniques and represent Cloudflare in the broader research community
• Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; Influence roadmaps and align detection strategy with company priorities
• Shape long-term detection strategy, identifying gaps and opportunities that span multiple product areas