Energy Data Scientist — AI, Forecasting & Digital Analytics

Baker Hughes Company; Firenze; Ibrido; EUR 39.000 - 50.000; Tempo pieno

Vantaggi offerti da questo lavoro

Private medical care

Life insurance

Flexible hours

Descrizione del lavoro

Baker Hughes Company is seeking a data science professional to develop and validate analytical models and ML solutions that support forecasting, scenario modelling, and optimization activities. You will create analytics and digital products while ensuring deliverables are reliable and scalable.

You will collaborate with system engineers and domain experts, applying advanced ML methods and deep learning. The role includes developing predictive maintenance models and contributing to Generative AI

Competenze

• Master's or PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering or related fields.
• Experience with time series modeling, NLP and agentic AI frameworks.
• Programming experience in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiar with databases, SQL, and large dataset management.
• Knowledge of predictive maintenance and asset health management.
• Knowledge of cloud platforms (AWS, Azure, or GCP) and ML lifecycle management.

Mansioni

• Collaborate with engineers and domain experts to understand business needs and develop analytics solutions.
• Apply statistical and machine learning techniques under guidance of senior team members.
• Support development, testing, and validation of predictive models for equipment health monitoring and analytics.
• Create and maintain analytics tools for forecasting, scenario modelling, and back casting.
• Monitor model performance and ensure quality and reliability of analytics.
• Contribute to ML pipelines and Generative AI prototyping activities.
• Follow coding standards and best practices to deliver high-quality solutions.
• Help improve existing analytics solutions and development processes.

Conoscenze

Python

TensorFlow

PyTorch

scikit-learn

NLP

Time series

SQL

Cloud platforms

ML pipelines

Deep learning

Formazione

Master's or PhD in Data Science

Strumenti

Docker

Kubernetes

Git

Descrizione del lavoro

Baker Hughes Company is seeking a data science professional to develop and validate analytical models and ML solutions that support forecasting, scenario modelling, and optimization activities. You will create analytics and digital products while ensuring deliverables are reliable and scalable.

You will collaborate with system engineers and domain experts, applying advanced ML methods and deep learning. The role includes developing predictive maintenance models and contributing to Generative AI