Data Scientist Specialist, Enterprise AI at GE Healthcare

Kraków, Lesser Poland Voivodeship, Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Finance, Manufacturing, Supply ChainIndustries

Requirements

B.S. in Computer Science, Data Science, Engineering or a STEM related field with basic 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

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

Skills

Machine Learning

GenAI

Deep Learning

Reinforcement Learning

Forecasting

Computer Vision

MLOps

Data Analysis

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees