Summary
Christopher Aden is a Senior Data Scientist in San Francisco with 12 years of experience applying applied statistics and causal inference to ads measurement, payments fraud, and product analytics across Pinterest, Roblox, LinkedIn, and consumer robotics startup Anki. He builds measurement systems and scalable pipelines that translate experimental and observational analyses into product decisions—cutting runtimes, adding robust alerting, and improving metric stability in production. His background in biostatistics and nutritional epidemiology gives him a strong foundation in study design and causal questions, which he brings to privacy-sensitive ad measurement and fraud detection. Notably, he has driven cross-functional measurement strategies—from onboarding true-north metrics at LinkedIn to defining advertiser-facing measurement at Pinterest—while remaining hands-on with BigQuery, causal methods, and A/B test infrastructure.
12 years of coding experience
9 years of employment as a software developer
Master of Science - MS Biostatistics, Master of Science - MS Biostatistics at University of California, Davis