[Remote] Sr. Staff Data Scientist- Enterprise AI

Note: The job is a remote job and is open to candidates in USA. GE 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. 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. Skills • 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 Overview • GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric. It was founded in 1892, and is headquartered in Chicago, Illinois, USA, with a workforce of 10001+ employees. Its website is http://www.gehealthcare.com.