Staff Data Scientist

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, 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

• Bachelor's 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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