Sr Data Scientist

24 godzin temu

Kraków, Lesser Poland GE HealthCare Pełny etat
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.

#LI-MT1

#LI-Hybrid

Additional Information

Relocation Assistance Provided: No

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