Data Scientist – Digital Services (Flexible Hours)

Baker Hughes; Firenze; In loco; EUR 39.000 - 50.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contemporary work-life balance

Private medical care

Life insurance

Tailored financial programs

Additional benefits

Descrizione del lavoro

Baker Hughes in Italy is seeking a data science engineer to develop, validate analytical models and ML solutions for forecasting, scenario modelling and optimization activities. You will build analytics tools and ensure deliverables are reliable while collaborating with system engineers, diagnostic engineers and domain experts.

The role requires Master’s or PhD in data science or related field, strong Python skills with TensorFlow/PyTorch and SQL, and knowledge of cloud platforms; fluency in

Competenze

• Master’s or PhD in Data Science, Computer Science, IT, Applied Mathematics, Statistics, Engineering, or related.
• Knowledge in time series modeling, NLP, and agentic AI frameworks.
• Programming skills in Python; experience with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Familiar with databases, SQL, and large dataset management.

Mansioni

• Develop, implement, and validate analytic models and ML solutions for forecasting, scenario modelling, and optimization.
• Collaborate with system engineers, diagnostic engineers, and domain experts to understand needs and build analytics solutions.
• Support development, testing, and validation of predictive models for equipment health monitoring and operational analytics.
• Maintain analytics tools for scenario modelling, forecasting, and back casting.
• Ensure quality, reliability, and transparency of analytics; monitor model performance.

Conoscenze

Time series modeling

NLP

Python

ML libraries

SQL databases

Cloud platforms

Agile

Communication

English/Italian fluency

Formazione

Master’s or PhD in Data Science

Strumenti

TensorFlow

PyTorch

scikit-learn

Descrizione del lavoro

Baker Hughes in Italy is seeking a data science engineer to develop, validate analytical models and ML solutions for forecasting, scenario modelling and optimization activities. You will build analytics tools and ensure deliverables are reliable while collaborating with system engineers, diagnostic engineers and domain experts.

The role requires Master’s or PhD in data science or related field, strong Python skills with TensorFlow/PyTorch and SQL, and knowledge of cloud platforms; fluency in