Job Description Summary
The Sr 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.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has
no limits. Unlock your ambition turn ideas into world-changing realities and join an organization where every voice makes a difference and
every difference builds a healthier world.
Job Description
GE HealthCare is accelerating its transformation through 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 delivers enterprise-grade AI and ML solutions that drive measurable impact. As a Sr. Data Scientist (LPB2) you will contribute to designing and implementing advanced models collaborating across functions to solve complex business challenges and deliver scalable solutions.
Core Responsibilities
Model Development & Delivery: Design build and deploy AI/ML models to address business challenges in commercial operations supply chain manufacturing and related domains.
Independent Project Execution: Lead projects and/or significant components of larger initiatives ensuring timely and high-quality delivery.
Cross-Functional Collaboration: Partner with data engineering ML engineering analytics GenAI and business stakeholders to deliver integrated solutions.
Technical Excellence: Apply best practices in data preparation feature engineering model selection validation and deployment. Contribute to code reviews and documentation.
Continuous Improvement: Stay current with advancements in ML GenAI and analytics. Identify opportunities to enhance models and processes.
Business Impact: Translate technical outputs into actionable insights for business partners supporting decision-making and measurable outcomes.
Experience Requirements
Experience: 1 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.
Education: Masters/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.
Inclusion and Diversity :
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity. Ourtotal rewardsare designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#L1-Hybrid
Additional Information
Relocation Assistance Provided: No
Required Experience:
Senior IC
Job Description SummaryThe Sr 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 resea...
Job Description Summary
The Sr 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.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has
no limits. Unlock your ambition turn ideas into world-changing realities and join an organization where every voice makes a difference and
every difference builds a healthier world.
Job Description
GE HealthCare is accelerating its transformation through 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 delivers enterprise-grade AI and ML solutions that drive measurable impact. As a Sr. Data Scientist (LPB2) you will contribute to designing and implementing advanced models collaborating across functions to solve complex business challenges and deliver scalable solutions.
Core Responsibilities
Model Development & Delivery: Design build and deploy AI/ML models to address business challenges in commercial operations supply chain manufacturing and related domains.
Independent Project Execution: Lead projects and/or significant components of larger initiatives ensuring timely and high-quality delivery.
Cross-Functional Collaboration: Partner with data engineering ML engineering analytics GenAI and business stakeholders to deliver integrated solutions.
Technical Excellence: Apply best practices in data preparation feature engineering model selection validation and deployment. Contribute to code reviews and documentation.
Continuous Improvement: Stay current with advancements in ML GenAI and analytics. Identify opportunities to enhance models and processes.
Business Impact: Translate technical outputs into actionable insights for business partners supporting decision-making and measurable outcomes.
Experience Requirements
Experience: 1 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.
Education: Masters/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.
Inclusion and Diversity :
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity. Ourtotal rewardsare designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.
#L1-Hybrid
Additional Information
Relocation Assistance Provided: No
Required Experience:
Senior IC
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