Job Description Summary
The Staff Data Scientist will work in teams addressing statistical machine learning and data understanding problems in a commercial technology and consultancy development 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.
Job Description
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. Youll collaborate across a unified cross-functional delivery organizationpartnering 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.
Experience Requirements
Experience: 3 years of 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.
Education: Bachelors Masters or PhD in Computer Science AI Data Science Applied Mathematics or related field.
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.
Pay Range
For Poland based positions Annual Salary Range:287200.00PLN-394900.00PLN
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.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
Job Description SummaryThe Staff Data Scientist will work in teams addressing statistical machine learning and data understanding problems in a commercial technology and consultancy development this role you will contribute to the development and deployment of modern machine learning operational re...
Job Description Summary
The Staff Data Scientist will work in teams addressing statistical machine learning and data understanding problems in a commercial technology and consultancy development 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.
Job Description
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. Youll collaborate across a unified cross-functional delivery organizationpartnering 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.
Experience Requirements
Experience: 3 years of 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.
Education: Bachelors Masters or PhD in Computer Science AI Data Science Applied Mathematics or related field.
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.
Pay Range
For Poland based positions Annual Salary Range:287200.00PLN-394900.00PLN
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.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Staff IC
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