GE HealthCare · 3 months ago
Sr Data Scientist
United States
Full-time
Remote
Senior LevelGE HealthCare is advancing the future of medical technology through intelligent systems powered by AI. As a Sr Data Scientist within our Global Services – Service Technology team, you will lead the development of cutting-edge machine learning and generative AI solutions that enhance imaging system performance, enable predictive maintenance, and improve patient outcomes.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
Responsibilities
Leading the design, development, and deployment of AI/ML models for remote diagnostics, predictive maintenance, and operational optimization
Analyzing large-scale machine and service datasets to uncover actionable insights and inform product improvements
Collaborating with cross-functional teams including engineering, product management, and MLOps to integrate AI solutions into commercial applications
Appling statistical, machine learning, and optimization techniques to solve complex healthcare challenges
Developing and operationalizing GenAI solutions, including RAG architectures and AI agents using AWS, Azure, and open-source tools
Ensuring scalability, reusability, and high-quality standards across AI products and pipelines
Communicating technical findings and strategic recommendations to stakeholders across business and technical domains
Mentoring junior team members and promote a culture of data-driven decision-making and continuous learning
Qualification
Required
M.S. or Ph.D. in Computer Science, Data Science, Engineering, or a related STEM field
Advanced experience in AI/ML development, with a strong portfolio of deployed models
Preferred
Experience in diagnostics/prognostics, system health monitoring, and reliability engineering
Strong foundation in applied analytics, statistical modeling, and feature engineering
Skilled in data cleaning, data quality assessment, and exploratory data analysis
Proficiency in Python and data science tools (e.g., Jupyter, Scikit-learn, TensorFlow, PyTorch)
Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Spark)
Hands-on experience with deep learning architectures (CNNs, RNNs, GANs)
Familiarity with GenAI tools (e.g., AWS Bedrock) and RAG models
Knowledge of cloud-native AI development and deployment practices
Experience in healthcare or industrial AI applications
Ability to translate business needs into technical solutions
Awareness of industry trends and emerging technologies
Skilled in assessing the impact of technology choices on business outcomes
Proven ability to lead projects and mentor team members
Strong communication and stakeholder engagement skills
Demonstrated initiative and ownership in ambiguous environments
Results-driven with a collaborative mindset
Strong problem-solving and critical thinking abilities
Effective communicator with a passion for innovation and continuous improvement
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.
Founded in 1892
10001+ employees
H1B Sponsorship
GE HealthCare has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (1)
2021 (1)
2020 (3)
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
2026-01-16
Company data provided by crunchbase