Job Information
GE Healthcare Staff Data Scientist in Remote, Poland
Job Description Summary
As a Staff Data Scientist, you will be responsible for moving product quality and reliability of GE HealthCare imaging systems into the age of machine intelligence. In this role, you will work across Engineering, Services Operations, and Digital Service Technology teams.
Also, you will contribute to the development, deployment and operationalization of modern machine learning, optimization, operational research, and statistical methods on machine data and device service history datasets.
Job Description
Responsibilities
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 to funnel product quality improvements.
Translate machine intelligence requirements and project vision into prioritized list of user stories, developing and delivering intelligence 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.
Required Qualifications
Degree or experience in STEM (Science, Technology, Engineering and Math) fields such as computer science, operations research, econometrics, data science.
Bachelor’s degree with minimum of 5 years, Master’s degree with 3 years, PhD with 1-year relevant professional experience, or significant professional experience.
Ability to travel internationally (up to 10% of working time) to support a team.
Demonstrated expertise in modeling, and in the development and application of descriptive, predictive, and prescriptive analytics.
Experience with big data technologies and cloud environments.
Experience utilizing statistical/machine learning tools, related libraries and frameworks (Python, Pytorch, Tensorflow, Keras, … etc.).
Experience in the full data science lifecycle, from business understanding to model operationalization (MLOps).
Experience with extracting data from large databases (SQL, Hue, Postgres, Hive QL, Lucene, etc.).
Experience with data visualization technologies (Spotfire, Tableau, Python, … etc.)
Experience working on software projects in the healthcare domain.
Fluent in spoken and written in English.
Desired Characteristics
Business Acumen:
Demonstrating the initiative to explore alternate technology and approaches to solving problems.
Skilled in breaking down problems, documenting problem statements and estimating efforts.
Awareness about competitors and industry trends.
Leadership:
Understanding of issues and presenting clear rationale
Continuously measures deliverables of self and team against scheduled commitments.
Uses two-way communication to influence outcomes and ongoing results.
Ability to speak to mutual needs and work towards win-win solutions.
Personal Attributes:
Strong oral and written communication skills
Effective team building and problem-solving abilities
Ability to push others for results through team spirit and collaboration.
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Additional Information
Relocation Assistance Provided: No