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Job of the Week: Staff Data Scientist at GE

GE in San Ramon, California is seeking a Data Scientist in our Job of the Week.

We are looking for a Data Scientist to work in Deep Learning(DL) to assist and build deep learning algorithms using imaging and non-imaging data. This individual will work with customer clinical data scientists and interface with internal GE software and data science teams to deliver high quality software in a fast paced, challenging, and creative environment.

Essential Responsibilities:

  • Contribute to technical teams (customer and GE) in development, deployment and application of applied analytics, predictive analytics and prescriptive analytics capabilities
  • Be a thought leader and guide clinical data science at key customer partnerships – data strategy, labeling techniques, annotation and curation methodologies
  • Be an expert in industry wide available best in class open source tool stacks and integrate work done at a customer site into GE environment
  • Assist in building self-learning systems that can assist in medical diagnosis and move to predictive results based on multi parametric data sets (imaging, non-imaging like EMR and wave form)
  • Work with the engineering team to incorporate your analyses and solutions, including working with the visualization team to create intuitive UI and rich UX stories. Partner with data engineers on data quality assessment, data cleansing and data analytics efforts
  • Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions. Design and implement scene labeling techniques for medical images, Design and implement image preprocessing and alignment algorithms, Hyper parameter optimization
  • Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation
  • Write technical reports summarizing development, analysis, training, validation, and testing of the algorithms
  • Stay up-to-date in the field of machine learning and deep learning. Apply new technologies in development of product

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