<h1>Job Description Summary</h1>GE HealthCare is advancing the future of medical technology through intelligent systems powered by AI. As a Sr Data Scientist within our Global Services – Service Technology team, you will lead the development of cutting-edge machine learning and generative AI solutions that enhance imaging system performance, enable predictive maintenance, and improve patient outcomes. This role offers the opportunity to work on high-impact projects in a collaborative, agile environment, driving innovation across healthcare operations and customer-facing products.<h1>Job Description</h1>Responsibilities<ul><li>Leading the design, development, and deployment of AI/ML models for remote diagnostics, predictive maintenance, and operational optimization.</li><li>Analyzing large-scale machine and service datasets to uncover actionable insights and inform product improvements.</li><li>Collaborating with cross-functional teams including engineering, product management, and MLOps to integrate AI solutions into commercial applications.</li><li>Appling statistical, machine learning, and optimization techniques to solve complex healthcare challenges.</li><li>Developing and operationalizing GenAI solutions, including RAG architectures and AI agents using AWS, Azure, and open-source tools.</li><li>Ensuring scalability, reusability, and high-quality standards across AI products and pipelines.</li><li>Communicating technical findings and strategic recommendations to stakeholders across business and technical domains.</li><li>Mentoring junior team members and promote a culture of data-driven decision-making and continuous learning.</li></ul><div></div>Required Qualifications: <ul><li>M.S. or Ph.D. in Computer Science, Data Science, Engineering, or a related STEM field.</li><li>Advanced experience in AI/ML development, with a strong portfolio of deployed models.</li></ul><div></div>Desired Characteristics:Technical Expertise<ul><li>Experience in diagnostics/prognostics, system health monitoring, and reliability engineering.</li><li>Strong foundation in applied analytics, statistical modeling, and feature engineering.</li><li>Skilled in data cleaning, data quality assessment, and exploratory data analysis.</li><li>Proficiency in Python and data science tools (e.g., Jupyter, Scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Spark).</li><li>Hands-on experience with deep learning architectures (CNNs, RNNs, GANs).</li><li>Familiarity with GenAI tools (e.g., AWS Bedrock) and RAG models.</li><li>Knowledge of cloud-native AI development and deployment practices.</li><li>Experience in healthcare or industrial AI applications.</li></ul>Business Acumen<ul><li>Ability to translate business needs into technical solutions.</li><li>Awareness of industry trends and emerging technologies.</li><li>Skilled in assessing the impact of technology choices on business outcomes.</li></ul>Leadership<ul><li>Proven ability to lead projects and mentor team members.</li><li>Strong communication and stakeholder engagement skills.</li><li>Demonstrated initiative and ownership in ambiguous environments.</li></ul>Personal Attributes<ul><li>Results-driven with a collaborative mindset.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Effective communicator with a passion for innovation and continuous improvement.</li></ul>#LI-MT1#LI-Hybrid<h1>Additional Information</h1><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>

GE Healthcare

Sr Data Scientist

GE Healthcare

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