Senior Staff Data Scientist, Enterprise AI at GE Healthcare

Kraków, Lesser Poland Voivodeship, Poland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Finance, Supply Chain, ManufacturingIndustries

Requirements

PhD in Statistics, Economics, Computer Science, Engineering or a STEM related field with a focus on forecasting and decision optimization
Hands-on experience in developing and deploying forecasting and optimization models
In-depth knowledge of forecasting methodologies, including time-series forecasting, probabilistic simulation, financial modeling, and optimization
Proficiency in the latest Python, AWS, Azure, and open-source data science tools such as R, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, and Scikit-learn
Ability to work with large-scale datasets and perform efficient data analysis
Ability to continuously track, evaluate, adapt the latest advancements in deep learning techniques and AI/ML research to business use cases across GE HealthCare
Strong problem-solving skills and the ability to think critically and creatively
Ability to communicate complex forecasting and technical ideas to non-technical stakeholders, including senior leaders

Responsibilities

Develop and implement advanced forecasting methodologies using technologies like batch forecasting, deep learning, simulation, and reinforcement learning to enhance decision-making
Partner with leaders in various departments to identify business needs and deliver fit-for-purpose forecasts that drive tangible business value
Establish forecasting standards, tools, and practices, ensuring best practices in model development, including cross-validation and hyperparameter tuning
Work with MLOps to streamline model deployment, monitoring, and maintenance. Implement CI/CD practices for robust forecasting solutions and optimize machine learning models
Align forecasting efforts with strategic objectives to identify risks and opportunities, driving actionable decision-making
Integrate forecasting models with other business systems for a comprehensive view of performance, ensuring smooth data flow and interoperability
Stay updated with advancements in forecasting 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

Key technologies and capabilities for this role

ForecastingMachine LearningDeep LearningSimulationReinforcement LearningCross-ValidationHyperparameter TuningMLOpsCI/CDModel DeploymentModel Monitoring

Questions & Answers

Common questions about this position

What experience is required for this Senior Staff Data Scientist role?

A PhD in Statistics, Economics, Computer Science, Engineering or a STEM related field with a focus on forecasting and decision optimization is required, along with hands-on experience in developing and deploying forecasting and optimization models.

What technical skills are needed for this position?

Proficiency in Python, AWS, Azure, and open-source data science tools such as R and SQL is required, along with in-depth knowledge of forecasting methodologies including time-series forecasting, probabilistic simulation, financial modeling, and optimization.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this data scientist position?

Candidates with deep forecasting experience, a PhD in a relevant STEM field focused on forecasting, hands-on model development and deployment experience, and proficiency in Python, AWS, Azure, R, and SQL will stand out.

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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