This role sits at the intersection of process engineering, applied mathematics, and machine learning , with a strong focus on real-world industrial impact .
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 (., ACF, IEX, RO)
Data-driven models (regression, tree-based methods,
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 (p...