Applied Machine Learning & Process Modeling Engineer (Water Treatment)

Das brauchst du

Ecolab diskriminiert keine Mitarbeiter oder Bewerber aufgrund von Rasse, Religion, Hautfarbe, Glaubensbekenntnis, nationaler Herkunft, Staatsbürgerschaft, Geschlecht, sexueller Orientierung, Geschlechtsidentität und -ausdruck, genetischen Informationen, Familienstand, Alter oder Behinderung. #J-18808-Ljbffr

Darum lohnt es sich

You will work closely with engineers and plant operators to: Improve operational efficiency Reduce cost and environmental footprint Increase understanding and robustness of our systems Responsibilities Develop predictive models for water treatment processes (e.g., ACF, IEX, RO) Data-driven models (regression, tree-based methods, etc.) Physics-informed or hybrid models Translate operational data into actionable insights Build simple, robust models that can be used by engineering and operations teams Analyze plant performance to identify optimization opportunities Work with multidisciplinary teams (process, automation, software) Support deployment of models into engineering tools or operational workflows Participate in on-site visits internationally to understand systems and validate models Qualifications We are looking for a hands‑on problem solver who can bridge theory and real‑world systems.

Wir rekrutieren, stellen ein, befördern, versetzen und bieten Aufstiegsmöglichkeiten auf der Grundlage individueller Qualifikationen und Arbeitsleistungen in allen Belangen, die Beschäftigung, Vergütung, Sozialleistungen, Arbeitsbedingungen und Karrierechancen betreffen.

This role sits at the intersection of process engineering, applied mathematics, and machine learning, with a strong focus on real-world industrial impact.

Must‑have MSc or PhD in: Applied Mathematics, Data Science, Chemical Engineering, Environmental Engineering, or similar 2+ years of experience Strong understanding of industrial water processes and field applications Good programming skills (Python preferred: pandas, NumPy, scikit-learn, etc.) Solid understanding of: Modelling / simulation (deterministic or statistical) Data analysis and signal interpretation Ability to work with noisy real-world data (not clean academic datasets) Fluent in English Strong plus Experience with: Water treatment or process industries Time‑series analysis, control systems, or optimization First‑principles modeling (mass balance, transport phenomena) Familiarity with: Hybrid modeling (physics + ML) Deployment of models into production tools Ability to communicate effectively with non‑data specialists (operators, engineers) What Makes This Role Unique Work on real industrial systems, not abstract datasets Direct impact on sustainability and water circularity Opportunity to shape the digital transformation of water treatment plants Combination of: Field understanding Engineering Data science Ecolab verpflichtet sich zur fairen und gleichen Behandlung von Mitarbeitern und Bewerbern und fördert die Grundsätze der Chancengleichheit in der Beschäftigung.