You will be responsible for moving product capabilities of GEHC imaging systems into the age of machine intelligence. In this role, you will work across Engineering, Service, and Digital Technology teams. You will contribute to the development and deployment of modern machine learning, optimization, operational research, and statistical methods on machine data and device service history datasets.
Be responsible for providing technical leadership and defining, developing, and evolving data and advanced analytics products in a fast paced and agile development environment
Work with Project/Product Managers and stakeholders to understand product requirements and execute to the project vision
Identify opportunities for design improvements by performing retrospective analysis of historical machine log data vs service dispatches, apply statistical and machine learning techniques to provide insights on data patterns, asset usage, and design characteristics
Translate machine intelligence requirements and product/project vision into prioritized list of user stories, developing and delivering intelligent products to required timelines and quality standards
Provide leadership in data creation, formatting, gathering, and standardization to enable efficient and effective machine learning
Communicate effectively with a wide range of business, engineering, and scientific teams
Support product and technology reuse and scalability
Drive world-class quality in the development and support of products
Engage subject matter experts in successful transfer of complex domain knowledge
Develop code that meets standards and delivers desired functionality using the technology selected for the project
Degree or experience in STEM (Science, Technology, Engineering and Math) fields such as computer science, operations research, econometrics, data science
Bachelors degree with minimum of 4 years OR Master’s degree with 3 years OR PhD with 1 year relevant professional experience, OR significant professional experience
Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job
Must be willing to travel as needed to support team
Demonstrated expertise in modeling, and in the development and application of descriptive, predictive, and prescriptive analytics
Demonstrated skill in data cleaning, data quality assessment, and using analytics for data assessment
Experience in diagnostics/prognostics and system health monitoring
Experience in reliability engineering, software reliability
Experience working on software projects in the healthcare domain
Experience with big data technologies
Experience utilizing statistical/machine learning tools in Python
Knowledge and experience working within cloud computing environments such as AWS
Experience with data visualization technologies (Kibana, Spotfire, Tableau, Python, R, JavaScript, etc.)
Experience with extracting data from large databases (SQL, Hue, Postgres, Hive QL, Lucene, etc.)
Experience in the full data science lifecycle, from business understanding to model operationalization
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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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.
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).
As a federal government contractor, GE may in the future be required to have U.S. employees fully vaccinated against COVID-19. Some GE customers currently have vaccination mandates that may apply to GE employees.
Relocation Assistance Provided: No