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Data Scientist - Explainable ML W / Health Data (Mo. Contract)
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- Train, tune and validate machine learning models using Tensorflow, python and GCP cloud infrastructure
- Use techniques like LIME, SHAP, recent temporal pattern mining (RTP) to develop explainable machine learning models
- Experience applying machine learning (in particular deep learning) to health data, time series problems or both
- Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms
- Bonus: Experience with research in a quantitative field like CS, physics, EE, computational biology (Phd, Masters or other projects)
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