GE HealthCare · 2 months ago
Sr. Staff Data Scientist- Enterprise AI
United States
Full-time
Remote
Senior Level, Lead/Staff
$136K/yr - $204K/yr
4+ years expGE HealthCare is a leader in medical technology and data analytics, and they are seeking a Senior Staff Data Scientist for their Enterprise AI team. This role involves developing algorithms to generate actionable insights across various business areas, including Supply Chain and Finance, while collaborating with cross-functional teams to enhance decision-making through advanced methodologies.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
No H1B
U.S. Citizen Only
Responsibilities
Develop and implement advanced digital twin methodologies to enhance decision-making across Supply Chain, Commercial and Manufacturing
Partner with leaders across Supply Chain to identify business needs and deliver fit-for-purpose forecasts that drive tangible business value
Establish optimization standards, tools, and practices, ensuring best practices in model development
Work with MLOps to streamline model deployment, monitoring, and maintenance. Implement CI/CD practices for robust forecasting solutions and optimize machine learning models
Connect modeling efforts to tangible business outcomes by aligning forecasts with strategic business objectives. Use optimization to identify risks and opportunities, driving action-oriented decision-making and planning
Ensure that forecasting models are integrated with other business systems to provide a holistic view of business performance. Collaborate with IT and other technical teams to ensure smooth data flow and system interoperability
Stay updated with advancements in operations research and AI, identify new opportunities for data science solutions, and influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics
Qualification
Required
Bachelors in Statistics, AI, Economics, Statistics, Applied Mathematics, Operations Research or a related field with 6 years of related experience, OR Masters with 4 years experience OR PhD with 2 years experience
Proven AI/ML and forecasting experience
Demonstrated in depth knowledge of forecasting methodologies, including, time-series forecasting, probabilistic simulation, financial modeling, and stochastic optimization
Expertise in the latest Python, AWS, Azure, and open-source data science tools such as R, SQL, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn
Experience working with MLOps practices and ML Engineering skills to deploy, monitor, and maintain machine learning models in production
Knowledge of business analytics and practices relevant to the healthcare/MedTech/pharmaceutical/biotech industries
Ability to continuously track, evaluate, adapt the latest advancements in deep learning techniques and AI/ML research to business use cases across GE HealthCare
Ability to communicate complex forecasting and technical ideas to non-technical stakeholders, including senior executives
Proven ability to work effectively in cross-functional, often virtual and matrix teams
Willingness to travel for regular internal and external business meetings
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
Medical Device Network
2026-02-03
legacy.thefly.com
2026-02-02
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