GE HealthCare Sr Staff Data Scientist- Enterprise AI Remote, Remote 265619103
Simulation & Optimization Excellence : Develop and implement advanced digital twin methodologies to enhance decision-making across Supply Chain, Commercial and Manufacturing
Collaboration: Partner with leaders across Supply Chain to identify business needs and deliver fit-for-purpose forecasts that drive tangible business value
Technical Implementation: Establish optimization standards, tools, and practices, ensuring best practices in model development
MLOps / Engineering: Work with MLOps to streamline model deployment, monitoring, and maintenance. Implement CI/CD practices for robust forecasting solutions and optimize machine learning models.
Business Outcomes : 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.
System Integration: 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.
Thought Leadership: 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.
5+ years of AI/ML experience, with 2+ years of forecasting experience.
Masters/PhD in Statistics, AI, Economics, Statistics, Applied Mathematics, Operations Research or a related field.
Demonstrated in depth knowledge of forecasting methodologies, including, time-series forecasting, probabilistic simulation, financial modeling, and stochastic optimization
Programming: Expertise in the latest Python, AWS, Azure, and open-source data science tools such as R, SQL, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn.
MLOps and ML Engineering: Experience working with MLOps practices and ML Engineering skills to deploy, monitor, and maintain machine learning models in production. Ability to collaborate effectively with MLOps COE.
Industry Knowledge: 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.
are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.משרות נוספות שיכולות לעניין אותך
