Staff Data Scientist

Job description

Job Description

Summary As a Staff Data Scientist, you will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.

GE HealthCare is accelerating its transformation through a series of strategic “Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. As a Staff Data Scientist, you will play a key role in shaping and executing our AI strategy.

You’ll collaborate across a unified, cross-functional delivery organization - partnering with experts in data engineering, ML engineering, analytics, GenAI development, and Corporate Finance - to solve complex business challenges and deliver scalable solutions.

Core Responsibilities

Model Development & Delivery : Design, build, and deploy AI/ML models that address business challenges in commercial operations, supply chain, manufacturing, and related domains.

Project Execution

Lead and contribute to data science projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities.

Cross-Functional Collaboration

Work closely with colleagues in data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success.

Technical Excellence

Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Participate in code reviews and contribute to technical documentation.

Continuous Improvement

Stay current with advancements in ML, GenAI, and analytics. Proactively identify opportunities to improve existing models and processes.

Business Impact

Translate complex data science concepts into actionable insights for business partners, supporting decision-making and measurable outcomes.

Mentorship & Learning

Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth.

Required Qualifications & Skills

Education: Bachelor’s, Master’s, or PhD in Computer Science, AI, Data Science, Applied Mathematics, or related field.

Experience

direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale.

Relevant Expertise

Proven ability to apply advanced analytics and machine learning to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization.

Technical Skills

Proficiency in ML algorithms, GenAI frameworks, and data engineering. Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).

MLOps & Engineering

Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments.

Industry Knowledge

Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance.

Communication

Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives.

Interpersonal Skills

Proven success working in cross-functional, hybrid, and virtual teams.

Ethics & Integrity

Commitment to ethical data science practices.

Travel

Willingness to travel for business meetings as needed. #LI-MT1 #LI-Hybrid Pay Range For Poland based positions, Annual Salary Range:287,200.00PLN-394,900.00PLN Placement within this range depends on: Relevant skills and qualifications Prior job-related experience Internal equity considerations (alignment with colleagues in similar roles) e.t.c. We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.

Benefits & Rewards In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include: Health & wellness coverage Retirement and or savings plans Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable) Work-life balance support (e.g., flexible working, leave programs) Recognition and incentive programs aligned with performance and company success The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.

Performance Bonus

Details to be shared during offer discussions Additional Information Relocation Assistance Provided: No