Mark Whitfield is a Senior Software Engineer in New York with 11 years of experience blending data science, deep learning, and production engineering at organizations including Google and The New York Times. Trained as a physical chemist (MSc, University of Chicago), he leverages rigorous quantitative foundations to build automated, scalable ML systems—previously delivering Spark-based propensity-score frameworks and model/feature management tooling for education analytics. He has a strong background in causal inference and intervention science, turning complex institutional data into actionable experiments and productionized pipelines. Comfortable moving between research-grade modeling and large-scale engineering, he’s known for shipping robust distributed systems that make advanced analytics accessible to nontechnical stakeholders. An underappreciated strength is his ability to translate physical-sciences precision into pragmatic software design, closing the loop from hypothesis to deployable model.
11 years of coding experience
7 years of employment as a software developer
B.S., Chemistry, B.S., Chemistry at Duke University
M.Sc., Physical Chemistry, M.Sc., Physical Chemistry at The University of Chicago
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Mark Whitfield - Senior Software Engineer at Google