Sarah Kreidler
Lead Data Scientist
Denver, Colorado, United States
Summary
👤
Senior🎓
Top SchoolSarah Kreidler is a Lead Data Scientist and ML engineer with 16 years of experience designing scalable data architectures and production ML systems for renewable energy and climate tech. She has led end-to-end projects—from architecting Apache Iceberg data lakes and PySpark pipelines on AWS to integrating optimization solvers for fleet-scale battery scheduling—delivering measurable cost savings and reliability improvements. Her background spans biostatistics and software engineering, enabling rigorous statistical modeling (Bayesian methods, time-series change point detection) applied to PV performance, degradation, and anomaly diagnosis across hundreds of thousands of systems. A pragmatic technical leader, she pairs hands-on implementation (CI/CD, Terraform, MLflow) with cross-team data governance and vendor evaluation to move proofs-of-concept into production. Based in Denver, she uniquely combines clinical-scale statistical rigor from her academic career with deep experience in distributed energy systems to solve clean-energy operational challenges.
16 years of coding experience
23 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biostatistics, Doctor of Philosophy (Ph.D.) Biostatistics at University of Colorado DenverDoctorate Physical Therapy, Doctorate Physical Therapy at University of PittsburghBS Logic & Computation, BS Logic & Computation at Carnegie Mellon University
Github Skills (5)
mixed-models8
r-package8
visualization4
charts4
charting3
Programming languages (2)
Github contributions (5)
kreidles/informativeDropout
Aug 2015 - Apr 2019
Contributions:100 pushes, 1 branch in 3 years 9 months
SampleSizeShop/mixedPower
May 2013 - Jul 2014
An R package providing power calculations for mixed models. The methods are validated in longitudinal and cluster randomized designs.
Contributions:1 release, 101 commits, 2 PRs in 1 year 1 month
r-packagerandomizedcalculationsdesignsrstats
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