Staff Data and Service Design Engineer

Waukesha, WI, US • Posted 3 days ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

  • Leadership
  • MRI
  • Product Management
  • Bridging
  • Innovation
  • Modeling
  • Statistics
  • Algorithms
  • Data Quality
  • Data Cleansing
  • Data Engineering
  • Technical Writing
  • Development Testing
  • Program Management
  • Quality Assurance
  • Supply Chain Management
  • Service Operations
  • Field Service
  • NPI
  • SAFE
  • Service Delivery
  • Customer Satisfaction
  • Documentation
  • Training
  • Management
  • Verification And Validation
  • Testing
  • Data Analysis
  • Performance Metrics
  • Science
  • Problem Solving
  • Conflict Resolution
  • Machine Learning (ML)
  • Advanced Analytics
  • Communication
  • Presentations
  • Collaboration
  • Computer Science
  • Data Science
  • Data Management
  • Extraction
  • Real-time
  • Prototyping
  • Medical Devices
  • Computer Hardware
  • Systems Engineering
  • Electrical Engineering
  • Mechanical Engineering
  • Biomedicine
  • Analytics
  • Service Design
  • IT Management
  • Manufacturing
  • Research
  • Analytical Skill
  • Process Improvement
  • Workflow
  • Strategic Thinking
  • Professional Development
  • Law
  • Health Care

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 cross-functional 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
  • Bachelor's Degree in Computer Science, Engineering, Science, or another STEM discipline.
  • Minimum 5 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
  • Master's 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

#LI-Onsite

#LI-Hybrid

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

Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare 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 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX156955
  • Position Id: 18c943d07e4f11a0d57922991f5546f6
  • Posted 3 days ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Waukesha, Wisconsin

Today

Full-time

Remote or Brookfield, Wisconsin

Today

Full-time

USD 131,600.00 - 249,780.00 per year

Waukesha, Wisconsin

Today

Full-time

Waukesha, Wisconsin

Today

Full-time

Search all similar jobs