Staff Data Scientist - Deep Learning Ge
San Ramon, CA

Job Description

Role Summary: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: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 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:

Basic Qualifications:

Ph.D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field plus 7 years analytics development for industrial applications in a commercial setting

Demonstrated 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 completed

Eligibility Requirements:

Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills.

Must be willing to travel to attend meetings, workshops, conferences & etc.

Must be willing to work out of an office located in San Ramon, CA

Desired Characteristics:

Technical Expertise:

Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

Demonstrated 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 deployment

Demonstrated ability to develop containerized solutions (e.g. docker)

Experienced in writing peer-reviewed scientific manuscripts

Leadership:

Demonstrated skill at working in a team setting

Demonstrated skill in critical thinking and problem-solving methods

Demonstrated skill in presentation and influencing skills

Demonstrated skill in data management methods

Demonstrated skill in feature extraction and realtime analytics development and deployment

Demonstrated skill in prescriptive analytics and analytic prototyping

#DTR

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 GE's 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, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or 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;