Process Data Scientist — Holcim Group
- Località
- Zug
- Contratto
- full-time
- Pubblicato
- Ieri
Panoramica
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.
Responsabilità principali
- 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.
Requisiti principali
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
Cosa offre l’azienda
- 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.
Processo di candidatura
- 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.
Contatti
- Important Notice: Holcim recruiters only contact candidates via official @[holcim.com] email addresses.
Dettagli ulteriori
- 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
Note e contenuto originale
- 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.
Domande frequenti su questo annuncio
Che stipendio offre Holcim Group per questa posizione?
Holcim Group indica CHF 69'500 - 106'000 lordi annui per questo ruolo a Zug. Questo è lo stipendio pubblicato nell'annuncio originale (o, quando il datore non specifica una cifra, una stima realistica per ruolo e settore) — il calcolatore di questo sito lo converte nel netto reale una volta applicate imposta da frontaliere e contributi sociali.
È un ruolo a tempo pieno, e che tipo di contratto offre Holcim Group?
Questo annuncio è una posizione a tempo pieno. Il tipo di contratto mostrato qui arriva direttamente dall'annuncio originale del datore di lavoro; conferma sempre orario esatto, preavviso e durata del periodo di prova con Holcim Group durante il colloquio, perché questi dettagli possono variare anche all'interno della stessa categoria contrattuale.
Serve un permesso da frontaliere per un ruolo nel canton Zugo?
I residenti UE/AELS nella zona di frontiera del paese confinante con il canton Zugo possono richiedere il Permesso G; il datore di lavoro svizzero lo presenta all'ufficio della migrazione di quel canton dopo la firma del contratto. Regole sulla zona di frontiera e tempi di lavorazione variano per paese confinante e canton — verifica i dettagli con l'ufficio della migrazione del canton Zugo o con HR durante il colloquio.
Come mi candido a questa posizione presso Holcim Group?
Usa il pulsante "Candidati ora" in questa pagina — rimanda direttamente all'annuncio originale di Holcim Group su careers.holcimgroup.com, quindi la tua candidatura arriva direttamente nel sistema di gestione candidature del datore di lavoro. Frontaliere Ticino non raccoglie né inoltra candidature in proprio.
