Mining Data Modeling Engineer — Predictive Analytics

MAXAM; Madrid; Presencial; EUR 42.000 - 66.000; Jornada completa

Descripción de la vacante

MAXAM in Madrid is seeking a Modelling Specialist to support the global rollout of data-driven solutions for operational optimization, analytics, and decision-making in blasting and downstream processes.

You will model, develop and deploy automated data-cleaning and processing tools, handle large datasets, validate outputs, and collaborate with cross-functional teams to improve predictive models and downstream performance.

Formación

• Mining, Geology, or Industrial Engineer background required.
• At least two years of experience in mining, quarry, or related tech environments.
• Knowledge of IT technologies (sensors, automation, modeling, AI) is valuable.
• Fluent in English; other languages are valued.

Responsabilidades

• Modeling and developing automated data-cleaning and processing tools using Python and Streamlit.
• Upload datasets containing thousands to millions of records.
• Clean, validate, standardize, and enrich data promptly.
• Automatically detect and correct format issues, mismatches, nulls, and outliers.
• Generate outputs aligned with predictive modeling requirements.
• Lead onsite trials, deployment, and follow-up.
• Coordinate and implement projects in operations and define downstream optimization strategies.
• Carry out simulations and modelling of blasting phenomena and their consequences downstream.

Conocimientos

Predictive Modeling

Data Analytics

Data Engineering

Quality Management

Digital Deployment

Process Optimization

Client Orientation

Project Coordination

Educación

Mining, Geology, or Industrial Engineer

Herramientas

MATLAB

Phyton

Descripción del empleo

MAXAM in Madrid is seeking a Modelling Specialist to support the global rollout of data-driven solutions for operational optimization, analytics, and decision-making in blasting and downstream processes.

You will model, develop and deploy automated data-cleaning and processing tools, handle large datasets, validate outputs, and collaborate with cross-functional teams to improve predictive models and downstream performance.