Staff Data and Service Design Engineer

GE HealthCare

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profile Job Location:

Waukesha, WI - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Job Description Summary

This hybrid role combines advanced data science expertise (approximately 70%) with service design leadership (approximately 30%) to shape the future of MRI service solutions at GE HealthCare. The individual will apply statistical machine learning and advanced analytics methods to large complex datasets while also leading service design activities that translate insights into safe effective and scalable service solutions for GE MRI Medical Systems.

Working within crossfunctional teams spanning engineering product management software service operations quality and field service this role bridges data-driven innovation with hands-on service design execution. The position is ideal for a technically strong systems-oriented problem solver who thrives in ambiguous environments and is motivated by measurable customer and operational impact.

Job Description

Staff Data Scientist Responsibilities (70%)

  • Lead and contribute to applied analytics predictive and prescriptive modeling initiatives using large complex datasets related to service operations system performance and customer outcomes.
  • Work with internal and external stakeholders to capture data analytics and business requirements and translate them into validated analytical solutions.
  • Develop verify and validate statistical and machine learning models to address customer needs and operational opportunities.
  • Perform exploratory and targeted data analyses using descriptive statistics feature extraction and other advanced methods.
  • Partner closely with software developers software engineers and data engineers to translate algorithms into scalable commercially viable products and services.
  • Assess data quality perform data cleansing and support analytics pipeline development in collaboration with data engineering teams.
  • Generate technical documentation annotated code reports and other project artifacts to clearly communicate methods assumptions results and business impact.
  • Communicate analytical methods findings hypotheses and recommendations to technical and non-technical stakeholders.

Lead Service Design Engineer Responsibilities (30%)

  • Lead service design activities across the product lifecycle from early concept through development testing and release ensuring a customer-centered and service-ready product outcome.
  • Collaborate cross-functionally with product and program management engineering (hardware systems software) quality supply chain service operations and field service teams to define service impact of NPI scope and translate it into actionable design transfer activities.
  • Translate Field Engineer and user needs into clear safe and effective MR service procedures covering installation hardware replacement calibration troubleshooting and system workflows.
  • Design and optimize service processes tools and training content to improve service delivery efficiency effectiveness and customer satisfaction.
  • Assess documentation impacts across service manuals training materials and product configurations; initiate and manage changes accordingly.
  • Develop conduct and document DIL verification and validation testing to identify service design challenges resolve defects and release high-quality service solutions.
  • Leverage data analysis and performance metrics to evaluate existing service solutions and identify opportunities for improvement.
  • Present service design concepts data-driven insights and recommendations to stakeholders articulating technical rationale and business value.

Qualifications / Requirements

  • Bachelors Degree in Computer Science Engineering Science or another STEM discipline.
  • Minimum 6 years of relevant experience (required for US-based roles).
  • Strong analytical and problem-solving skills with the ability to apply data and user feedback to complex technical challenges.
  • Demonstrated experience working with statistical machine learning or advanced analytics methods in a commercial or applied setting.
  • Ability to develop timely effective solutions in ambiguous cross-functional environments.
  • Excellent communication presentation and interpersonal skills with the ability to collaborate effectively across technical and non-technical teams.

Desired Characteristics

  • Masters Degree in Computer Science Engineering Data Science or related field.
  • Demonstrated expertise in data management feature extraction real-time analytics and analytic prototyping.
  • Experience applying analytics within healthcare medical devices or other regulated industries.
  • Broad exposure to hardware software and systems engineering with technical depth in one or more disciplines (Electrical Mechanical Biomedical Software etc.).
  • Experience defining and delivering customer value through both analytics and service design.
  • Project or technical leadership experience in engineering manufacturing research or service environments.
  • Experience translating analytical insights into operational or service process improvements.
  • Knowledge of GE HealthCare MR products engineering tools quality processes and service workflows.
  • Self-starter with strong ownership mindset capable of balancing strategic thinking with hands-on execution.

#LI-LRG1

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We will not sponsor individuals for employment visas now or in the future for this job opening.

Additional Information

GE HealthCare 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).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No


Required Experience:

Staff IC

Job Description SummaryThis hybrid role combines advanced data science expertise (approximately 70%) with service design leadership (approximately 30%) to shape the future of MRI service solutions at GE HealthCare. The individual will apply statistical machine learning and advanced analytics methods...
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GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients

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