Staff Data Scientist

Job Overview

Essential Responsibilities:Drive the design and development of deep learning technologies for health care applications such as segmentation, anomaly detection, image processing, natural language understanding, time series analysis, etc. Provide guidance to data collection teams on test protocols including design of experiments, sample size, and statistical distributions. Design and implement networks to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports. Demonstrate algorithms meet accuracy requirements on general subject population through statistical analyses and error estimation. Gather and analyze data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code. Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies, pursuing patents where appropriate. Stay current on published state-of-the-art algorithms and competing technologies. Contribute to the development of software and data delivery platforms that are service-oriented with reusable components across teams (multiple teams) that can be orchestrated together into different methods for different businesses. Research and evaluate emerging technology, industry and market trends to assist in product development and/or operational support activities to for multiple teams or complex scenarios.Qualifications/Requirements:Position requires PH.D or foreign equivalent in STEM major (Science, Technology, Engineering or Mathematics) and 2 years of experience in the artificial intelligence/deep learning industry in a related occupation. The position also requires: 2 years of experience implementing deep learning models including CNN, RNN, LSTM AND GANS or with waveform/time-series data using RNN/LSTM; 2 years of experience using PYTHON, TENSORFLOW, KERAS, CAFFE, OR CNTK. General Electric Company will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen.About Us:GE (NYSE:GE) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, GE helps the world work more efficiently, reliably, and safely. GE people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill GEs mission and deliver for our customers. www.ge.com GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.Additional Eligibility Qualifications:GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).Additional Locations:United States;California;San Ramon;Job SummaryDate posted : 2020-07-31Profession: Digital TechnologyEmployment type: Experienced