Process Data Scientist — Holcim Group
- Lieu
- Zug
- Contrat
- full-time
- Publié
- Hier
Vue d’ensemble du poste
Holcim is the leading partner for sustainable construction with net sales of CHF 15.7 billion in 2025, creating value across the built environment from infrastructure and industry to buildings.
Headquartered in Zug, Switzerland, Holcim has more than 50 000 employees in 45 countries – across Europe, Latin America and Asia, Middle East & Africa – and has been recognized as a Global Top Employer by the Top Employers Institute.
Holcim offers high-value end-to-end Building Materials and Building Solutions, from foundation and flooring to walling and roofing – powered by premium brands including ECOPact, ECOPlanet, ECOCycle, and Ytong. Role Overview
- Holcim is the leading partner for sustainable construction with net sales of CHF 15.7 billion in 2025, creating value across the built environment from infrastructure and industry to buildings.
- Headquartered in Zug, Switzerland, Holcim has more than 50 000 employees in 45 countries – across Europe, Latin America and Asia, Middle East & Africa – and has been recognized as a Global Top Employer by the Top Employers Institute.
- Main Responsibilities
- Machine Learning & Physics-AI Hybrid Model Design, Tuning, and Validation:
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
Responsabilités principales
- Main Responsibilities
- Machine Learning & Physics-AI Hybrid Model Design, Tuning, and Validation:
- Design, configure, and validate hybrid Machine Learning algorithms combining 1st-principles process physics and adaptive AI loops for calciner and kiln optimization.
- Develop predictive soft sensors for real-time process variables, like fuel calorific value forecasting of alternative fuels and clinker quality predicting.
- Build multi-variable target recommenders for control loops of our kilns and other equipment
- Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes). Model Lifecycle Management:
- Responsible for the end-to-end lifecycle of models (including feature engineering, design, cloud/edge deployment, continuous tuning, and automated retraining pipelines).
- Work with our vendors on the deployment and customization of their solutions as well as on development of Holcim proprietary solutions.
- Explainable AI (XAI) & Operator Interface Integration:
- Design operational logic, reason codes, and metrics to be displayed on operator dashboards to ensure high explainability and user trust.
Exigences principales
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
Ce que l’entreprise offre
- Hybrid work contract
- Family Support: Subsidized child care and paid maternity/paternity leave
- Professional Growth: Company-sponsored training and professional development.
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions. Long-service awards Employee referral bonus
- Pension and Savings: Access to a comprehensive pension fund and an employee savings scheme.
- Holcim is committed to a diverse and inclusive workplace.
- We support equal opportunities for everyone, regardless of race, national origin, gender, sexuality, disability, or age.
- We do not use Gmail or any other non-Holcim domains to conduct recruitment processes.
- Please verify the sender address before responding.
Processus de candidature
- Inspired to develop and deploy cutting-edge AI applications that enhance a new era of kiln and thermal efficiency, our Process Data Scientist is passionate about leveraging digital tools to optimize process stability, reduce fuel consumption, drive Alternative Fuel substitution, and curb CO2 emissions across our Plants of Tomorrow.
- You will work on the algorithm design, Machine Learning development and deployment, and implementation of various manufacturing process optimisation initiatives including our flagship solution P-PREDICT .
- You will also make sure these solutions integrate seamlessly our legacy and new Plant of Tomorrow technologies to realize our vision for sustainable cement manufacturing.
- C3.ai Certifications (C3.ai Data Science, C3.ai V8 Data Science/Application Development) or equivalent enterprise AI framework certification (Advantage). Experience
- 3+ years’ experience in applied Machine Learning and Data Science projects focused on heavy industry process optimization (cement, chemical, energy, or mineral processing preferred).
- 2+ years’ experience productizing and scaling ML models in production environments (both Cloud and EDGE).
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage). Technical Competencies
- Applied Machine Learning expertise: Anomaly detection, time-series forecasting, regression analysis, probabilistic modeling, supervised classification, and unsupervised learning.
Contacts
- Important Notice: Holcim recruiters only contact candidates via official @[holcim.com] email addresses.
Détails supplémentaires
- Holcim offers high-value end-to-end Building Materials and Building Solutions, from foundation and flooring to walling and roofing – powered by premium brands including ECOPact, ECOPlanet, ECOCycle, and Ytong.
- Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes). Model Lifecycle Management:
- Collaborate closely with process engineers and plant operators to translate operational knowledge into accurate model boundaries. Field Adoption & Knowledge Transfer:
- C3.ai Certifications (C3.ai Data Science, C3.ai V8 Data Science/Application Development) or equivalent enterprise AI framework certification (Advantage).
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage). Technical Competencies
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions. Long-service awards Employee referral bonus
Notes et contenu original
- Role Overview
- Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes).
- Model Lifecycle Management:
- Collaborate closely with process engineers and plant operators to translate operational knowledge into accurate model boundaries.
- Field Adoption & Knowledge Transfer:
- Your Profile
- Experience
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage).
- Technical Competencies
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions.
Questions sur cette offre
Quel salaire propose Holcim Group pour ce poste ?
Holcim Group indique CHF 69 500 - 106 000 bruts par an pour ce poste à Zug. Il s'agit du salaire publié dans l'annonce d'origine (ou, si l'employeur ne précise pas de montant, d'une estimation réaliste pour le rôle et le secteur) — le calculateur de ce site le convertit en net réel une fois l'impôt frontalier et les cotisations sociales appliqués.
Est-ce un poste à temps plein, et quel type de contrat propose Holcim Group ?
Cette offre est un poste en temps plein. Le type de contrat affiché ici provient directement de l'annonce originale de l'employeur ; confirmez toujours les horaires exacts, le préavis et la durée d'essai avec Holcim Group pendant le processus de candidature, ces détails pouvant varier même au sein de la même catégorie de contrat.
Ai-je besoin d'un permis de frontalier pour un poste dans le canton de Zoug ?
Les résidents UE/AELE domiciliés dans la zone frontalière du pays voisin du canton de Zoug peuvent demander un permis G ; l'employeur suisse le dépose auprès de l'office cantonal des migrations après signature du contrat. Les règles de zone frontalière et les délais varient selon le pays voisin et le canton — confirmez les détails auprès de l'office des migrations du canton de Zoug ou avec les RH pendant la candidature.
Comment postuler à ce poste chez Holcim Group ?
Utilisez le bouton « Postuler maintenant » sur cette page — il renvoie directement à l'annonce originale de Holcim Group sur careers.holcimgroup.com, votre candidature arrive donc directement dans le système de suivi des candidatures de l'employeur. Frontaliere Ticino ne collecte ni ne transmet lui-même les candidatures.
