Will Mcginnis is a Chief Data Scientist with 12 years of experience building production ML systems and AI infrastructure that directly augment investment decision-making at Scale Venture Partners. He has cofounded and led startups (one acquired by a Fortune 50) and run 60+ person science teams across both startup and enterprise contexts, translating research into deployed products in finance, aerospace, and industrial IoT. His work spans document understanding, semantic search, predictive modeling, and explainable models that surface interrogable insights for investors and operators. Prior roles include leading data science at Aumni/J.P. Morgan and heading applied data and predictive fleets work at Raytheon, reflecting deep domain expertise in rare-event modeling and large-scale deployment. Will pairs mechanical engineering rigor from Auburn and hands-on systems craftsmanship (self-described engineer/tinkerer) to focus on first principles, scalability, and trust in AI. He’s notable for repeatedly being “first in the room” to establish data science capabilities that become mission-critical across organizations.
12 years of coding experience
13 years of employment as a software developer
Georgia Institute of Technology
B.S and M.S. Mechanical Engineering, B.S and M.S. Mechanical Engineering at Auburn University
Contributions:18 commits, 19 PRs, 55 pushes in 1 year 9 months
pythonsparkpure-pythonmockrdd
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