Expoint – all jobs in one place
Finding the best job has never been easier
Limitless High-tech career opportunities - Expoint

GE HealthCare Senior Data Scientist Enterprise AI 
Poland, Lesser Poland Voivodeship, Krakow 
285905339

Today

Core Responsibilities

  • Develop and implement advanced AI algorithms and models to solve complex problems across finance, manufacturing, quality, supply chain, sales & marketing.

  • Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making.

  • Apply computer vision methods to drive manufacturing efficiencies and improve product quality across the GE Healthcare manufacturing network.

  • Collaborate with cross-functional teams to integrate AI solutions into various applications and products.

  • Analyze large datasets to extract meaningful insights and improve model performance.

  • Design and conduct digital experiments to validate and optimize AI models.

  • Present findings and recommendations to stakeholders in a clear and concise manner.

  • Collaborate with the MLOps team during AI model development, deployment and monitoring.

  • Proactively identify new opportunities to further leverage data science solutions – prioritizing opportunities with the biggest potential benefit to the business.

  • Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise.

  • Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches.

Experience Requirements

  • M.S. or Ph.D. in Computer Science, Data Science, Engineering or a STEM related field with hands-on experience in developing and deploying AI models and applications.

  • Proficiency in the latest Python, AWS, Azure, and open-source data science tools such as Jupyter, R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn.

  • Proficiency in AI agentic development tools such as AWS Bedrock, Azure AI Foundry, Microsoft Copliot Studio and LangChain/LangGraph.

  • Knowledge of RAG architecture, including retrieval mechanisms and generative models.

  • Knowledge of deep learning architectures including CNNs, RNNs, and GANs.

  • Experience building RAG models and AI agents via AWS or Azure AI services.

  • Ability to work with large-scale datasets and perform efficient data analysis.

  • Expertise in transformers, self-supervised learning, and generative AI models.

  • Strong problem-solving skills and the ability to think critically and creatively.

  • Excellent communication skills and the ability to work collaboratively in a team environment.