Summary
Caroline Ledbetter is a Senior Data Scientist with 8 years of experience turning statistical rigor into production-ready analytics that drive business outcomes. She has led cross-functional teams and architected analytics products in healthcare that reduced manual work by up to half, cut cloud costs by 70%, and accelerated pipelines 20x—translating research into scalable systems. Skilled in causal inference, time-dependent modeling, and PySpark migrations, she has a track record of implementing CI/CD, containerized deployments, and algorithmic improvements that materially improved performance and extensibility. Her background in applied biostatistics informs pragmatic experimental design and interpretable models for stakeholders across technical and non-technical audiences. A fast adopter of methods from the literature, she combines reproducible research practices with engineering discipline to deliver actionable insights. Based in Aurora, Colorado, she thrives at the intersection of data science, software engineering, and product strategy.
7 years of coding experience
10 years of employment as a software developer
Master of Public Health (M.P.H.) Applied Biostatistics, Master of Public Health (M.P.H.) Applied Biostatistics at Colorado School of Public Health
Bachelor’s Degree Biochemistry, Bachelor’s Degree Biochemistry at University of Colorado Boulder
English