Sam Brilleman is a Principal Data Scientist specializing in experimentation platforms and applied statistics, with a decade of experience bridging academic biostatistics and production ML tooling at SEEK. He has led the design, procurement and rollout of scalable experimentation stacks (including LaunchDarkly and Statsig) and previously architected an in-house A/B testing platform, working daily in Python and AWS while applying rigorous statistical methods like group sequential designs. Trained with a PhD in Biostatistics and an MSc in Medical Statistics, Sam’s background spans survival analysis, joint longitudinal–survival models and Bayesian methods, and he has contributed open-source R/Stan tooling for clinical-style models. He thrives as a technical contributor in small collaborative teams, combining deep statistical research with DevOps/MLOps practices (Kubernetes, Terraform, CI/CD) to accelerate experiment velocity and reliable product decisions. An uncommon strength is his ability to translate complex adaptive-trial methodology into pragmatic platform features that scale across enterprise experimentation programs.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BSc with Honours Statistics, Bachelor of Science - BSc with Honours Statistics at University of Otago
Master of Science - MSc Medical Statistics, Master of Science - MSc Medical Statistics at University of Leicester
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Monash University
Contributions:34 commits, 6 PRs, 30 pushes in 1 year 1 month
jointsurvivalsimulate
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Sam Brilleman - Principal Data Scientist - Experimentation