Senior Data Scientist, Healthcare AI

In your role as Senior Data Scientist, you will work on real-world problems with customers to create new meaning out of patient data. For example, one of your major projects will be to collaborate with a small cross-functional team of researchers and engineers to use NLP to derive new meaning out of the cancer journey. An entrepreneurial, start-up approach and willingness to take end-to-end ownership are key! You'll gain experience developing and implementing state of the art machine reading algorithms while making a difference in this critical space. Qualifications REQUIRED QUALIFICATIONS: M.S. in Computer Science, Mathematics, Statistics, or related field and 5 years of related work experience, or B.S. and 5 years of related work experience 2+ years' experience in machine learning applications Experience working with at least one of the following ML frameworks: PyTorch, TensorFlow, Keras, or CNTK Preferred Qualifications PhD in Computer Science, Mathematics, Statistics, or related field, or equivalent experience Demonstrable experience with NLP applications Fluency with deep learning Experience with one or more of the following computing platforms: Spark, HDInsight, DataBricks, Hadoop, MapReduce, etc. Publications in major ML/NLP conferences, and/or participation in Kaggle or similar competitions

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