Staff Data Scientist – AI/ML

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GE HealthCare

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Healthcare • Medical Technology • Pharmaceuticals

GE HealthCare is a leader in precision care, dedicated to providing innovative technologies and integrated solutions that enhance healthcare services. As a stand-alone company, it focuses on imaging, ultrasound, and healthcare IT, empowering clinicians and improving patient outcomes through advanced medical technologies and personalized care solutions. With a significant investment in research and development, GE HealthCare aims to transform healthcare by making hospitals more efficient and therapies more precise.

10,000+ employees

Founded 1892

💊 Pharmaceuticals

📋 Description

• Design, build, and deploy AI/ML models that address business challenges in commercial operations, supply chain, manufacturing, and related domains. • Lead and contribute to data science projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities. • Work closely with colleagues in data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success. • Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. • Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes. • Translate complex data science concepts into actionable insights for business partners, supporting decision-making and measurable outcomes. • Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth.

🎯 Requirements

• Bachelor’s degree in Computer Science, AI, Data Science, Applied Mathematics, or related field. • 3+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale. • Proven ability to apply advanced analytics and machine learning to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization. • Proficiency in ML algorithms, GenAI frameworks, and data engineering. • Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn). • Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments. • Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives. • Proven success working in cross-functional, hybrid, and virtual teams.

🏖️ Benefits

• medical • dental • vision • paid time off • a 401(k) plan with employee and company contribution opportunities • life • disability • accident insurance • tuition reimbursement