Rachel Wagner-kaiser
Director, Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolRachel Wagner-kaiser is a Director and data science leader with 11 years of experience turning messy, unstructured data into actionable insights for large enterprises. Based in Seattle and currently leading data science at KPMG US, she combines AI strategy with hands-on model development to deliver measurable business outcomes. Her academic background includes an MSc and PhD from the University of Florida, grounding her work in rigorous research methods and complex problem-solving. Rachel is skilled at bridging technical teams and stakeholders to operationalize models at scale and embed analytics into decision-making processes. Colleagues describe her as someone who makes the opaque transparent—structuring ambiguity into reproducible pipelines and clear metrics. She brings a rare mix of executive leadership, deep technical training, and a pragmatic approach to deploying AI in regulated, enterprise environments.
11 years of coding experience
Bachelor's degree, Bachelor's degree at Vassar CollegeSSPMaster of Science (MSc), Master of Science (MSc) at University of Florida
Github Skills (18)
python9
machine-learning9
binder9
deep-learning8
tensorflow8
data-science7
neural-network7
google7
tesseract6
translation6
nlp5
deep-neural-networks5
ml5
transformers4
machine-translation4
Programming languages (2)
Github contributions (5)
rwk506/HessDiagram
Feb 2015 - Apr 2017
Contributions:10 commits, 8 pushes, 2 comments in 2 years 1 month
rwk506/Coursera_HARdata_PMLcourse
Dec 2014 - Apr 2017
Contributions:4 commits, 2 pushes in 2 years 4 months
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