[Remote] Staff Data Scientist-AI/ML at GE Healthcare

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

Proven ability to apply advanced analytics and machine learning to solve real-world problems
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)
Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments
Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance
Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives
Proven success working in cross-functional, hybrid, and virtual teams
Bachelor’s degree in Computer Science, AI, Data Science, Applied Mathematics, or related field
3+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale

Responsibilities

Model Development & Delivery: Design, build, and deploy AI/ML models that address business challenges
Project Execution: Lead and contribute to data science projects from ideation through implementation
Cross-Functional Collaboration: Work closely with colleagues in 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
Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics
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

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.

Regulatory challenges may delay AI application expansions in healthcare.

Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.

The company supports over 300,000 patients daily with its healthcare technologies.

GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.

Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.

Collaboration with Wayra accelerates digital health innovation in EMEA.

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