[Remote] Sr. Staff Data Scientist- Enterprise AI at GE Healthcare

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial IntelligenceIndustries

Requirements

Bachelors in Statistics, AI, Economics, Statistics, Applied Mathematics, Operations Research or a related field with 6 years of related experience, OR Masters with 4 years experience, OR PhD with 2 years experience
Proven AI/ML and forecasting experience
Demonstrated in depth knowledge of forecasting methodologies, including, time-series forecasting, probabilistic simulation, financial modeling, and stochastic optimization
Expertise in Python, AWS, Azure, and open-source data science tools such as R, SQL, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn
Experience working with MLOps practices and ML Engineering skills to deploy, monitor, and maintain machine learning models in production
Knowledge of business analytics and practices relevant to the healthcare/MedTech/pharmaceutical/biotech industries
Ability to communicate complex forecasting and technical ideas to non-technical stakeholders
Proven ability to work effectively in cross-functional, often virtual and matrix teams
Willingness to travel for regular internal and external business meetings

Responsibilities

Develop and implement advanced digital twin methodologies to enhance decision-making across Supply Chain, Commercial and Manufacturing
Partner with leaders across Supply Chain to identify business needs and deliver fit-for-purpose forecasts that drive tangible business value
Establish optimization standards, tools, and practices, ensuring best practices in model development
Work with MLOps to streamline model deployment, monitoring, and maintenance
Implement CI/CD practices for robust forecasting solutions and optimize machine learning models
Connect modeling efforts to tangible business outcomes by aligning forecasts with strategic business objectives
Use optimization to identify risks and opportunities, driving action-oriented decision-making and planning
Ensure that forecasting models are integrated with other business systems to provide a holistic view of business performance
Stay updated with advancements in operations research and AI, identify new opportunities for data science solutions, and influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics

Skills

Machine Learning

GenAI

Simulation

Optimization

Supply Chain

Forecasting

MLOps

Model Deployment

CI/CD

Data Integration

Operations Research

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