GE HealthCare · 5 hours ago
Staff Data Scientist-AI/ML
United States
Full-time
Remote
Senior Level, Lead/Staff
$136K/yr - $203K/yr
3+ years expGE HealthCare is a leading global medical technology and digital solutions innovator. The Staff Data Scientist will work on statistical, machine learning, and data understanding problems, contributing to the development and deployment of AI and ML solutions that drive business impact.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
No H1B
Responsibilities
Model Development & Delivery: Design, build, and deploy AI/ML models that address business challenges in commercial operations, supply chain, manufacturing, and related domains
Project Execution: Lead and contribute to data science projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities
Cross-Functional Collaboration: Work closely with colleagues in data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success
Technical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentation
Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes
Business Impact: Translate complex data science concepts into actionable insights for business partners, supporting decision-making and measurable outcomes
Mentorship & Learning: Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth
Qualification
Required
Proven ability to apply advanced analytics and machine learning to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization
Proficiency in ML algorithms, GenAI frameworks, and data engineering
Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn)
Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments
Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance
Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives
Proven success working in cross-functional, hybrid, and virtual teams
Bachelor's degree in Computer Science, AI, Data Science, Applied Mathematics, or related field
3+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale
Benefits
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Catherine Estrampes
President and CEO, US & Canada
Luiz Verzegnassi
President & CEO, Services
Recent News
2026-01-16
Medical Device Network
2026-01-16
Company data provided by crunchbase