Data Scientist (Guissona)

Description

Job Summary: We are seeking a Data Scientist to transform large volumes of data into actionable insights and valuable solutions in industrial and logistics environments. Key Highlights: 1. Joining an innovative and dynamic team 2. Participation in high-impact projects 3. Access to advanced technologies and a strong commitment to data and AI 30/04/2026 **Site Description** At BonÀrea IT, we are looking for a Data Scientist to join our Data & Analytics / Artificial Intelligence team, with the goal of transforming large volumes of data into actionable knowledge, predictive models, and solutions that deliver real business value. If you are passionate about data analysis and machine learning, and wish to contribute to technology-driven projects with direct impact in industrial, logistics, and corporate environments, this is your opportunity. Main Responsibilities: * Analyze, clean, and structure large volumes of data from various corporate systems. * Design, develop, and validate statistical and algorithmic models (machine learning, prediction, clustering, optimization). * Analyze and interpret results, producing reports and visualizations oriented toward decision-making. * Identify opportunities for improvement in industrial, logistics, commercial, or administrative processes through data exploitation. * Deploy analytical models in production environments, ensuring their quality, maintainability, and evolution. * Collaborate with technical and operational teams to translate business needs into data-driven solutions. * Ensure data quality, integrity, and security throughout the analytical lifecycle. * Actively participate in artificial intelligence and digital transformation projects. What We Offer: * Integration into an innovative and dynamic team within bonÀrea’s technology department. * Participation in real, high-impact projects within a large-scale industrial and technological environment. * Access to advanced technologies and a clear strategic focus on data and AI. * Permanent contract. * Full-time position with flexible working hours Monday to Friday. * Remote work. * Opportunities for professional growth and continuous development. **Minimum Education** * University degree in Data Science and Engineering, Mathematics, or related fields. **Other Requirements** * Solid knowledge of applied statistics. * Proficiency in Python and data analysis and machine learning libraries. * Experience implementing machine learning projects in production (MLOps). * Ability to communicate results clearly and effectively, both technically and functionally. Desirable: * Experience in complex industrial, logistics, or corporate environments. * Knowledge of technologies such as Kubernetes and Docker. * Practical business orientation and a continuous improvement mindset. **Start Date** Shortly **Salary** Based on qualifications and experience