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Sr Data Scientist Job Opening In Poland, Poland – Now Hiring WomenTech Network


Job description

Job Description Summary

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.

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:



  • or 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 (, Jupyter, Scikit-learn, TensorFlow, PyTorch).




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




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




  • Familiarity with GenAI tools (, 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

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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