Scott Carpenter
Data Scientist (Machine Learning)
Raleigh, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolScott Carpenter is a seasoned data scientist and machine learning lead with over a decade of hands-on experience and a 20+-year background in software engineering and project management. He combines a Ph.D. in Computer Science with deep cloud and data architecture expertise—designing and deploying production-grade AWS data pipelines, time-series databases, and ML systems for both commercial and DoD contexts. Known for turning heterogeneous, messy datasets into operational AI solutions, he has led research-grade model development, reverse-engineering efforts, and rapid product deliveries across agritech, defense, and enterprise software. A certified PMP and AWS practitioner who has introduced Agile at multiple organizations, Scott pairs strategic roadmap thinking with day-to-day coding and mentoring (from PostGIS and GeoPandas to Flask, TimescaleDB, and TypeScript). He also holds Top Secret/SCI clearance and an uncommon track record of moving academic research into production-grade analytics and decision-making platforms.
12 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD), 2018, Computer Science, GPA 4.0, Doctor of Philosophy (PhD), 2018, Computer Science, GPA 4.0 at North Carolina State UniversityBS, Computer Engineering, 3.2 (with honors), BS, Computer Engineering, 3.2 (with honors) at Case Western Reserve University
English
Github Skills (5)
twine10
merge9
simulation8
gitlab7
simulator2
Programming languages (1)
Github contributions (5)
imec-idlab/IEEE-802.11ah-ns-3
Mar 2014 - Jan 2015
Contributions:4 commits in 10 months
mkheirkhah/ecmp
Mar 2014 - Jan 2015
Contributions:4 commits in 10 months
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