Sr. Staff Data Scientist- Enterprise AI

Job Description Summary GE HealthCare’s Chief Data and Analytics Office team delivers innovative data, insights and AI solutions for the organization. Our Enterprise AI team works on a diverse portfolio of Machine Learning (ML), AI and GenAI projects, by combining agile and entrepreneurial drive with industry-leading methods and tools. As the Senior Staff Data Scientist, you will be at the forefront of developing and delivering innovative algorithms that generate actionable business insights for key areas within GE HealthCare, including Supply Chain, Quality, Finance, Commercial, and Manufacturing. We are seeking a highly skilled and motivated Data Scientist with deep simulation & optimization experience to join our dynamic team. Job Description • 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. Qualifications • 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. Technical Expertise • 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. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership –always with unyielding integrity. Our total rewards 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. #LI-BR3 #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $136,000.00-$204,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No Application Deadline: November 30, 2025