GE HealthCare provides transformational medical technologies and services that are shaping a new age of patient care. Operating at the center of an ecosystem working to improve outcomes, GE HealthCare offers digital infrastructure, data analytics, and ...

GE HealthCare

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 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 a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. 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 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. 
 
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. 
 
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. 
 
 

Requirements 
 


* 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. 
 
 

Qualifications 
 


* Bachelor’s degree in Computer Science, AI, Data Science, Applied Mathematics, or related field. with 3+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale. 
 
 

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. 
 
Our total rewards are 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 you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. 
 
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $114,400.00-$171,600.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. 
 
Additional Information 
 
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. 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. 
 
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). 
 
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. 
 
Relocation Assistance Provided: No 
 
Application Deadline: December 31, 2025