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You will be updated with latest job alerts via emailYou 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 Services 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.
In this role you will:
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.
Education Qualification
Bachelors Degree in Computer Science or STEM Majors (Science Technology Engineering and Math) with advanced experience.
Desired Characteristic
Technical Expertise:
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
Enthusiasm curiosity and desire to solve problems with data
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.
Business Acumen
Demonstrated the initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems documenting problem statements and estimating efforts
Demonstrated awareness about competitors and industry trends
Ability to analyze impact of technology choices.
Leadership
Ownership of small and medium sized tasks and delivers while mentoring and helping team members
Ensure understanding of issues and presents clear rationale
Ability to speak to mutual needs and work towards win-win solutions
Ability to use two-way communication to influence outcomes and ongoing results
Abilty to identifie misalignments with goals objectives and work direction against the organizational strategy making suggestions to course correct
Continuously measuring deliverables of self and team against scheduled commitments
Effectively balances different competing objectives.
Personal Attributes
Strong oral and written communication skills
Strong interpersonal skills
Effective team building and problem-solving abilities
Persistent to completion especially in the face of overwhelming odds and setbacks
Results-driven; enables others to achieve results through team spirit and collaboration.
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Relocation Assistance Provided: Yes
Required Experience:
Staff IC
Full-Time