Ross Diener is a Director-level technology and analytics leader who transitioned from a PhD in theoretical physics to eight years of applied data science and engineering leadership at Shopify and Canada’s defence sector. He builds and ships people- and trust-focused systems—from fraud detection and cloud forecasting to talent platforms powering compensation, recruitment, and performance—while leading cross-functional engineering and data science teams. Known for combining formal mathematical modelling and causal inference with pragmatic automation, he thrives where research-grade methods meet production-scale impact. He repeatedly takes on organizational challenges—designing onboarding, hiring prioritization, and change programs—to scale data capabilities and grow technical talent. Based in Ottawa, he brings a rare mix of academic rigor, product-minded delivery, and hands-on mentorship that turns complex HR and security problems into operational tools.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (PhD) Theoretical and Mathematical Physics, Doctor of Philosophy (PhD) Theoretical and Mathematical Physics at McMaster University
Bachelor of Science (BSc) Theoretical and Mathematical Physics, Bachelor of Science (BSc) Theoretical and Mathematical Physics at University of Ottawa
Master of Science (MSc) Theoretical and Mathematical Physics, Master of Science (MSc) Theoretical and Mathematical Physics at University of Waterloo
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Ross Diener - Director, Talent RnD And Technology at Shopify