Summary
Jeremy Gray is a Data Science Lead with 12 years of experience blending advanced statistical research and production-grade engineering across media, retail, and social platforms. With a PhD in Biology, he translates complex bioinformatic and ecological problems into scalable data products, leveraging R, Python, AWS, and reproducible research practices. He has led teams and taught data science—designing curricula and building tooling—while shipping Bayesian, MCMC, HMM, and agent-based solutions in production at organizations like Numerator, Twitter, and The Globe and Mail. Comfortable moving research code into cloud-native systems (EC2, S3, Redshift) and APIs, he balances algorithmic depth with pragmatic automation and deployment. A former postdoc who built major R packages for high-throughput analysis, he brings a rare mix of wet-lab insight and production analytics that informs robust model design.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc) Genetics, Bachelor of Science (BSc) Genetics at University of Otago
Doctor of Philosophy (PhD) Biology, Doctor of Philosophy (PhD) Biology at The University of Auckland