Staff Data Scientist

About the role

GE Healthcare's Enterprise AI team, part of the Chief Data and Analytics Office, is looking for a Staff Data Scientist in Krakow. You will work in teams solving statistical, machine learning and data understanding problems in a commercial technology and consultancy environment, contributing to the development and deployment of machine learning, operational research, semantic analysis and statistical methods for large data sets. The role sits within GE Healthcare's strategic "Big Bets" in commercial excellence, logistics, inventory management and manufacturing innovation.

Key responsibilities

• Design, build and deploy AI/ML models for commercial operations, supply chain, manufacturing and related domains
• Lead data science projects from ideation through implementation, keeping them robust, scalable and aligned with priorities
• Collaborate with data engineering, ML engineering, analytics, GenAI and business stakeholders
• Apply best practices in data preparation, feature engineering, model selection, validation and deployment, and take part in code reviews and documentation
• Keep up with ML, GenAI and analytics advances and improve existing models and processes
• Translate data science concepts into actionable insights for business partners
• Share knowledge with peers and mentor others

Required profile

• Bachelor's, Master's or PhD in Computer Science, AI, Data Science, Applied Mathematics or a related field
• Demonstrated experience building and deploying enterprise-grade AI/ML solutions at scale
• Proven ability to apply advanced analytics and machine learning to forecasting, pricing, customer analytics, sales planning, computer vision and operational optimization
• Understanding of analytics in commercial operations, logistics, inventory management, manufacturing and finance
• Strong communication with non-technical stakeholders and senior executives, and experience in cross-functional, hybrid and virtual teams
• Ethical data science practice and willingness to travel for business meetings

Required skills

• Proficiency in ML algorithms, GenAI frameworks and data engineering
• Python, AWS, Azure, R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn
• MLOps: deploying, monitoring and maintaining ML and GenAI models in production

What we offer

• Annual salary range for Poland-based positions of 287,200 PLN to 394,900 PLN, depending on skills, experience and internal equity
• Performance bonus details shared during offer discussions
• Benefits that may include health and wellness coverage, retirement or savings plans, and allowances such as mobility, transport or a company car
• Flexible working, leave programs and recognition programmes