Michael Lindon
Staff Research Scientist at Netflix
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMichael Lindon is a Staff Research Scientist at Netflix with 12 years of experience applying mathematical and statistical modeling to product and experimentation problems. He holds a PhD and MSc in Statistics from Duke and a BSc/MPhys in Physics from Warwick, blending deep theoretical training with practical data science at scale. His career spans senior research and data science roles at Netflix, Optimizely, and Tesla, where he focused on causal inference, experimentation design, and productionizing statistical models. Known internally as a statistician who turns complex models into actionable product insights, he bridges research rigor with engineering pragmatism. Based in Seattle, he brings both domain breadth across entertainment and previous experience in optimization platforms and automotive data. Colleagues rely on him for subtle model diagnostics and scalable inference pipelines that improve decision-making across teams.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at Duke UniversityBsc MPhys Physics, Bsc MPhys Physics at University of Warwick
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (58)
mismatch10
sequential9
julia9
science8
statistics8
graphic8
algorithms7
programming-language7
machine-learning7
vega-lite7
orthogonal7
data-science6
hpc6
python6
r-package6
Programming languages (9)
Github contributions (5)
michaellindon/distributions
Feb 2017 - Oct 2017
Contributions:42 commits, 45 pushes, 1 branch in 7 months
michaellindon/sss4clj
Jan 2017 - Jun 2017
Contributions:38 commits, 35 pushes, 1 branch in 4 months
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