Edward Thompson is a data scientist with eight years of experience who blends a mechanical engineering foundation with advanced data science training from the University of Virginia to solve R&D and product-quality problems. Currently on Mars’s Enterprise Advanced Analytics team, he builds predictive models, computer vision and audio-event detectors, and NLP pipelines that reduce human subjectivity and mitigate operational risk across global manufacturing and research teams. His background in product safety and regulatory work at companies like Bosch, Electrolux, and Katerra gives him uncommon domain expertise in compliance, failure analysis, and recall prevention that informs more robust, safety-conscious models. He is comfortable partnering across functions—marketing, IT, legal, and field research—and with contractors and data engineers to operationalize analytics in Snowflake and ML frameworks like PyTorch and TensorFlow. Based in Bolton, Ontario, he combines pragmatic engineering judgment with exploratory analysis, often surfacing unexpected insights from unsupervised learning in randomized studies.
8 years of coding experience
15 years of employment as a software developer
Master of Science, Engineering, Master of Science, Engineering at Milwaukee School of Engineering
Master's degree, Data Science, Master's degree, Data Science at University of Virginia
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