Sr Data Scientist

Job Description SummaryGE 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.

Job Description

Responsibilities

• Leading the design, development, and deployment of AI/ML models for remote diagnostics, predictive maintenance, and operational optimization.

• Analyzing large-scale machine and service datasets to uncover actionable insights and inform product improvements.

• Collaborating with cross-functional teams including engineering, product management, and MLOps to integrate AI solutions into commercial applications.

• Appling statistical, machine learning, and optimization techniques to solve complex healthcare challenges.

• Developing and operationalizing GenAI solutions, including RAG architectures and AI agents using AWS, Azure, and open-source tools.

• Ensuring scalability, reusability, and high-quality standards across AI products and pipelines.

• Communicating technical findings and strategic recommendations to stakeholders across business and technical domains.

• Mentoring junior team members and promote a culture of data-driven decision-making and continuous learning.

Required Qualifications:

• M.S. or Ph.D. in Computer Science, Data Science, Engineering, or a related STEM field.

• Advanced experience in AI/ML development, with a strong portfolio of deployed models.

Desired Characteristics:

Technical Expertise

• Experience in diagnostics/prognostics, system health monitoring, and reliability engineering.

• Strong foundation in applied analytics, statistical modeling, and feature engineering.

• Skilled in data cleaning, data quality assessment, and exploratory data analysis.

• Proficiency in Python and data science tools (e.g., Jupyter, Scikit-learn, TensorFlow, PyTorch).

• Experience with cloud platforms (e.g., AWS) and big data technologies (e.g., Spark).

• Hands-on experience with deep learning architectures (CNNs, RNNs, GANs).

• Familiarity with GenAI tools (e.g., AWS Bedrock) and RAG models.

• Knowledge of cloud-native AI development and deployment practices.

• Experience in healthcare or industrial AI applications.

Business Acumen

• Ability to translate business needs into technical solutions.

• Awareness of industry trends and emerging technologies.

• Skilled in assessing the impact of technology choices on business outcomes.

Leadership

• Proven ability to lead projects and mentor team members.

• Strong communication and stakeholder engagement skills.

• Demonstrated initiative and ownership in ambiguous environments.

Personal Attributes

• Results-driven with a collaborative mindset.

• Strong problem-solving and critical thinking abilities.

• Effective communicator with a passion for innovation and continuous improvement.

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Additional Information