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Senior Staff Data Scientist
Gehc
IND
Full-time
Onsite
Discovered 4 weeks ago
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Role Overview
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 is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale.
As a Senior Staff Data Scientist, you will play a pivotal 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.
Key Skills for This Role
PythonAWSAzureRSQLSpark
Full Job Posting
Job Overview
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 is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale.
As a Senior Staff Data Scientist, you will play a pivotal 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
- Architect and implement AI/ML solutions that operate at scale, supporting GE HealthCare’s strategic priorities and Big Bets.
- Collaborate with colleagues in data engineering, ML engineering, analytics, GenAI, and Corporate Finance to deliver cohesive, end-to-end data science solutions.
- Tackle a diverse range of business challenges, from optimizing supply chains and inventory, to enhancing commercial strategies and manufacturing processes.
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