Data Monitoring & Analyst

is the Maire's company dedicated to Sustainable Technology Solutions. We are looking for a Data Analytics Specialist that will support our hydrogen initiatives through advanced analytics across two core areas:

Oversee data collection during testing, evaluate and adapt third-party machine-learning models, and provide strategic insights on model implementation.

Maintain, enhance, and utilize techno-economic optimization models to inform strategic decisions and support project proposals.

This role requires strong quantitative skills, proficiency in Python, familiarity with optimization and machine learning techniques, and the ability to translate complex analytical results into actionable insights.

Data Analytics & Modelling

Evaluate third-party monitoring and predictive-maintenance models for electrolysis cells.

Develop or adapt advanced analytical models using machine learning and optimization techniques.

Maintain, expand, and apply techno-economic optimization models for hydrogen projects.

Data Management

Define and oversee the data collection strategy during electrolysis testing and operation phases.

Perform analysis of sensor data (e.g., temperature, current density) and operational performance data to inform model improvements.

Strategic Analysis & Reporting

Provide data-driven recommendations regarding the adoption or in-house development of analytics tools.

Document analytical methodologies and deliver training to technical and non-technical stakeholders.

Strong proficiency in Python.

Good knowledge of optimization methodologies and machine-learning techniques.

Experience with SQL or database management tools is advantageous.

Proficiency with Excel (advanced level preferred).

Understanding of electrochemical processes or sensor data (e.g., Master's degree (or higher) in Engineering, Applied Mathematics, Operations Research, Economics, Computer Science, or related quantitative fields.

Ideally 3-6 years' relevant experience in data analytics, optimization modelling, or similar quantitative roles within energy or industrial contexts.

Languages:

Fluent in English (written and spoken).

Knowledge of Italian is advantageous. If you believe this role aligns with your skills and experience, we encourage you to apply!