Summary
Patrick Doupe is a Principal Data Scientist with 11 years of experience translating causal inference, experimentation and ML into measurable product and pricing impact across AdTech and e-commerce. Based in Berlin, he has led cross-functional teams and technical workstreams at Delivery Hero and Zalando, driving double-digit profit improvements from pricing strategies, a +20% booked-budget uplift from a pricing experiment, and bandit systems for vendor budget optimization. Trained as an economist with a PhD, he blends rigorous quasi-experimental methods with production ML—building tools to estimate long-run CLV from short-run A/B results and scaling quasi-experimental analysis across organizations. He mentors senior scientists, runs cross-team forums to improve measurement practices, and brings an unusually broad toolkit spanning forecasting, operations research, deep learning for satellite imagery, and causal evaluation.
11 years of coding experience
12 years of employment as a software developer
Australian National University
The University of Melbourne
English, German, stata, python, r, scala