Process Data Scientist

Requisition

Location:

Zug, CH, 6300

Holcim is the leading partner for sustainable construction, creating value across the built environment from infrastructure and industry to buildings. Headquartered in Zug, Switzerland, Holcim has more than 48,000 employees in 45 attractive markets – across Europe, Latin America, Asia, Middle East & Africa. Holcim offers high-value end-to-end Building Materials and Building Solutions, from foundations and flooring to roofing and walling – powered by premium brands including ECOPlanet, ECOPact, and ECOCycle®.

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As a global leader in innovative and sustainable building solutions, Holcim is enabling greener cities, smarter infrastructure and improving living standards around the world. With sustainability at the core of our strategy, we are becoming a net-zero company, with our people and communities at the heart of our success. We are driving circular construction as a world leader in recycling to build more with less.

It’s all thanks to our 70,000 talented people around the world who are passionate about building progress for people and the planet through four business segments:
Cement, Ready-Mix Concrete, Aggregates and Solutions & Products.

Holcim people are passionate about finding better ways to build. They embrace innovation and improvement with a pioneering spirit. They work as trusted partners, creating better solutions and experiences for their customers, communities, and colleagues.

As we continue to look for more sustainable ways to build, we need world-class talent to join our team. People who are passionate about sustainability, driven by curiosity, and keen to grow, learn, develop, and thrive in our high-performance culture.

We are looking for an innovative Process Data Scientist, motivated to solve the bigger operational and energy challenges in our industry. 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.

• 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).

• 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.

• Design operational logic, reason codes, and metrics to be…