Joseph King

Senior Data Scientist

Munich, Bavaria, Germany
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Summary

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Senior
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Top School
Joseph King is a Senior Data Scientist based in Munich with six years of hands-on experience building ML and causal inference solutions across tech, consulting, and government research. He has led teams and projects from federated survival models deployed to edge devices to production recommender systems and causal experiments for marketing, blending deep learning, survival analysis, and explainability techniques like SHAP. Joseph has a strong research pedigree (PhD-level work) applied to high-stakes domains such as defense and national statistics, where he scaled pipelines for hundreds of millions of records and studied systemic inequalities. He’s comfortable owning end-to-end systems—ETL, model development, cloud deployment (AWS IoT, Greengrass, Lambda), and MLOps—and has practical experience producing synthetic data and generative models to bootstrap tiny datasets. A technical lead who pairs rigorous causal thinking with pragmatic engineering, he uniquely bridges academic rigor and production-grade ML in regulated, real-world settings.
code6 years of coding experience
job14 years of employment as a software developer
bookMaster of Arts (M.A.), Master of Arts (M.A.) at Washington State University
bookBachelor of Science (B.S.), Bachelor of Science (B.S.) at University of Idaho
bookNon-Degree, Non-Degree at UC San Diego Extended Studies
bookDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of California, Irvine
languagesGerman, English
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Stackoverflow

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Github Skills (37)

xception10
vehicle-detection10
generative-adversarial-network9
shap9
shapley9
visible9
gradient-boosting9
machine-learning9
mobilenet9
google-images9
deep-learning9
generative9
resnet9
passenger9
keras8

Programming languages (3)

JuliaJupyter NotebookPython

Github contributions (5)

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kingjosephm/GAN

Sep 2021 - Jan 2022

Pix2Pix and CycleGAN generative adversarial networks (GANs) to convert thermal to visible images using TensorFlow
Contributions:147 commits, 2 PRs, 42 pushes in 4 months
adversarialtensorflowpix2pix-tensorflowcycleganvisible
Scrapes Google Images to create a ~700k sample of US passenger vehicle images, YOLOv5 to detect and crop vehicles in images, ResNet50 to classify vehicle make-models
Contributions:199 commits, 2 PRs, 38 pushes in 4 months
resnetcroppassengerimage-classificationobject-detection
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Joseph King - Senior Data Scientist