Process Data Scientist — Holcim Group
- Ort
- Zug
- Vertrag
- full-time
- Veröffentlicht
- Gestern
Rollenüberblick
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.
Hauptaufgaben
- 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.
Wichtige Anforderungen
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
Was das Unternehmen bietet
- 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.
Bewerbungsprozess
- 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.
Kontakte
- Important Notice: Holcim recruiters only contact candidates via official @[holcim.com] email addresses.
Weitere Details
- 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
Notizen und Originalinhalt
- 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.
Fragen zu dieser Stellenanzeige
Welches Gehalt bietet Holcim Group für diese Stelle?
Holcim Group gibt CHF 69'500 - 106'000 brutto pro Jahr für diese Position in Zug an. Dies ist das im Original-Inserat veröffentlichte Gehalt (oder, falls der Arbeitgeber keinen Betrag nennt, eine realistische Schätzung für Rolle und Branche) — der Rechner auf dieser Seite berechnet daraus Ihr tatsächliches Netto nach Grenzgänger-Steuer und Sozialabgaben.
Ist das eine Vollzeitstelle, und welchen Vertragstyp bietet Holcim Group?
Diese Stelle ist eine Vollzeit-Position. Der hier angezeigte Vertragstyp stammt direkt aus dem Original-Inserat des Arbeitgebers; klären Sie genaue Arbeitszeiten, Kündigungsfrist und Probezeit während des Bewerbungsprozesses mit Holcim Group, da diese Details auch innerhalb derselben Vertragskategorie variieren können.
Brauche ich eine Grenzgänger-Bewilligung für eine Stelle im Kanton Zug?
EU/EFTA-Bürger mit Wohnsitz in der Grenzzone des an den Kanton Zug angrenzenden Landes können eine G-Bewilligung beantragen; der Schweizer Arbeitgeber reicht sie nach Vertragsunterzeichnung beim Migrationsamt dieses Kantons ein. Grenzzonen-Regeln und Bearbeitungszeiten variieren je nach Nachbarland und Kanton — klären Sie die Details mit dem Migrationsamt des Kantons Zug oder mit HR während der Bewerbung.
Wie bewerbe ich mich für diese Stelle bei Holcim Group?
Nutzen Sie die Schaltfläche "Jetzt bewerben" auf dieser Seite — sie führt direkt zum Original-Inserat von Holcim Group unter careers.holcimgroup.com, sodass Ihre Bewerbung direkt im Bewerbermanagementsystem des Arbeitgebers landet. Frontaliere Ticino sammelt oder leitet keine Bewerbungen selbst weiter.
