Staff Data Scientist - Deep Learning

Job Description SummaryThe Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems ...

Job Description SummaryThe Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.GE Healthcare is a leading global medical technology and digital solutions innovator. Our Digital organization is structured around three major areas: Products & Platform, Go to Market and Centers of Excellence.Job DescriptionRoles and Responsibilities:Want to revolutionize healthcare domain? We are looking for a highly motivated individual, passionate about deep learning and AI to join the GE Healthcare Data Science team. As the Staff Data Scientist, you will focus on developing impactful and innovative deep learning-based products for the Healthcare industry partnering with world-leading clinicians.Essential Responsibilities:You will be expected to drive design and development of deep learning technologies for Healthcare 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 estimationGather 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 appropriateStay 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: Basic QualificationsGE Healthcare is a leading global medical technology and digital solutions innovator. Our Digital organization is structured around three major areas: Products & Platform, Go to Market and Centers of Excellence.Master's Degree in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 3 year analytics development for industrial applications in a commercial setting OR Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field• Experience with waveform/time-series data with 2 years experience. Post-doctoral fellowships can be substituted for industry experience if it is in a relevant area.Desired QualificationsDemonstrated expertise in building deep learning models such as CNN, RNN, LSTM and GANs.Strong implementation experience with a variety of high-level languages and frameworks such as Python, TensorFlow, Keras, Caffe, CNTK, etc.GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completedTechnical Expertise:• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessmentDemonstrated experience working with multivariate waveform/time-series dataDemonstrated expertise in modeling and in the development and application of descriptive, applied, and predictive analytics on industrial datasets• Demonstrated expertise in building deep learning models such as CNN, RNN, LSTM and GANs.Demonstrated expertise in large scale analytics development and deploymentDemonstrated ability to develop containerized solutions (e.g. docker)• Experienced in writing peer-reviewed scientific manuscripts• Leadership:• Demonstrated skill at working in a team settingDemonstrated skill in critical thinking and problem-solvingmethods• Demonstrated skill in presentation and influencing skills#LI-SANGE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.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).Relocation Assistance Provided: Yes