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Full Stack Data Scientist and Machine Learning Engineer leading development of high-performance mathematical models for Big Data. Demonstrated track record of innovation and rapidly iterating on ETL, Learning, Inference, and Viz tasks to meet business needs. Excellent team player and communicator.

Skills

Big Data Sources: Best-in-class EMR, Claims, Laboratory, and Real World Oncology data, 100GB-1TB

Data Science: Python, Pandas, R, tidyverse, Tensorflow, Mathematica, SQL, C++, AWS/S3, SGE

Machine Learning: Bayes, Causal, Graphical, EM, Variational, SSM, Deep Learning, Gaussian Processes