Alexander Clark is a Senior Data Scientist based in New York with eight years of experience applying rigorous economic theory and causal inference to product and marketing problems. He blends a Ph.D. in Economics and a strong mathematics background with hands-on production analytics at companies like Airbnb, LinkedIn, and Peloton to advise product, strategy, and engineering stakeholders. As an educator he teaches Python and applied analytics at Columbia, bringing real-world casework into graduate classrooms. His work emphasizes causal methods and measurement—turning complex experiments and observational data into actionable business insights. Colleagues describe him as equally comfortable deriving theoretical identification strategies and shipping analytics that drive marketing and product decisions. He often surfaces subtle trade-offs between inference and deployability, helping teams choose solutions that are both statistically sound and operationally practical.
7 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Economics, Doctor of Philosophy (Ph.D.) Economics at University of Wisconsin-Madison
Bachelor's degree Mathematics Economics, Bachelor's degree Mathematics Economics at Georgetown University
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