Summary
Scott Mckean is a subsurface specialist and data-focused solution architect with eight years of experience applying geomechanics, Bayesian statistics, machine learning, and numerical modeling to characterize soil, rock, and fluids. He blends hands-on field and engineering experience—from geotechnical investigations and pile design to microseismic and discrete fracture network analysis—with a PhD-driven proficiency in algorithmic, repeatable workflows for risk-based decision making. At Chevron he led subsurface digital transformation initiatives and now simplifies data and AI adoption for Canadian Databricks customers, bridging domain expertise with cloud-scale tooling. Known among colleagues as someone who translates complex physical problems into probabilistic models and production-ready pipelines, he thrives at the intersection of rocks, repos, and regressions.
8 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.Sc.), Civil Engineering - Internship Program, Honours, Bachelor of Science (B.Sc.), Civil Engineering - Internship Program, Honours at The University of Calgary
Doctor of Philosophy - PhD, Geotechnical and Geoenvironmental Engineering, Doctor of Philosophy - PhD, Geotechnical and Geoenvironmental Engineering at University of Calgary
English, French