Scott Pitz
Data Scientist
Reston, Virginia, United States
Summary
👤
Senior🎓
Top SchoolScott Pitz is a data scientist with 11 years of experience applying machine learning, geospatial analytics, and custom field instrumentation to environmental and societal challenges. He has built end-to-end ML products for flood-risk assessment and city-scale computer vision tools to prioritize infrastructure interventions, and currently applies those skills at Noblis. Scott’s PhD work combined IoT sensors, high-precision greenhouse gas analyzers, and bespoke hardware to quantify tiny tree emissions—bringing hands-on experimental design into data-driven modeling. He excels at turning heterogeneous public datasets into unified pipelines and delivering uncertainty-aware metrics that clients can operationalize. Based in Reston, VA, Scott bridges academic rigor and production engineering, with a track record of translating complex environmental measurements into actionable insights. An uncommon blend of field-built instrumentation and cloud ML experience makes him adept at solving problems where sensors, models, and policy intersect.
11 years of coding experience
1 year of employment as a software developer
Johns Hopkins University
English, German
Github Skills (4)
environmental5
data-driven2
data-quality2
data-engineering1
Programming languages (1)
Github contributions (5)
slpitz/R-Graphs
Jan 2015 - Mar 2020
Contributions:8 pushes in 5 years 2 months
slpitz/ArduinoAdaGPS
Jan 2015 - Apr 2020
Contributions:1 push in 5 years 3 months
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