Summary
Steve Scherrer is a Senior Scientist and data scientist with 11 years of experience applying rigorous statistical modeling and machine learning to real-world problems across academia, healthcare, and tech. He earned a PhD in Marine Biology and translated that domain expertise into impactful, stakeholder-driven analyses—his work helped shape management decisions for Hawaii’s deep-water fisheries. At Exponent and prior roles he builds production-ready pipelines, forecasts, and dashboards, and at Facebook and startups he bridged analytics with operational decision-making to quantify ROI and capacity needs. He has hands-on experience with time-series, spatial-temporal analysis, causal inference, computer vision, and sensor data pipelines, and has built end-to-end tools from YOLOv3-based forecasting platforms to standalone data processing applications. Based in Cupertino, Steve combines field science instincts with pragmatic engineering, comfortable communicating complex results to both technical teams and non-technical stakeholders. A less obvious strength is his breadth of practical production experience—from winemaking labs and fisheries telemetry to enterprise ETL—giving him a rare mix of experimental design intuition and operational execution.
11 years of coding experience
8 years of employment as a software developer
De Anza College
Doctor of Philosophy (PhD) Marine Biology, Doctor of Philosophy (PhD) Marine Biology at University of Hawaii at Manoa
Foothill College
Bachelor of Arts (B.A.) Major: Communication Minor: Geology, Bachelor of Arts (B.A.) Major: Communication Minor: Geology at UC Santa Barbara
Monash University
English, Spanish