Data Scientist, Digitalisation & Process Optimisation
Synthomer
Pasir Gudang, Malaysia
Machine learning and optimisation models
Digital pid tuning recommendations
Aspen steady-state/dynamic models
Design, build, and maintain machine learning and optimisation models for real manufacturing problems such as soft sensors, quality prediction, set-point optimisation, and scheduling solvers
Job Summary
Design, build, and maintain machine learning and optimisation models for real manufacturing problems such as soft sensors, quality prediction, set-point optimisation, and scheduling solvers.
Partner with production and maintenance to operationalise models, verify impact, and embed solutions into standard work, while delivering intuitive dashboards and alerts.
Synthomer offers a high challenge, high support environment with personalized development, aiming for inspiring long-term career adventures with significant growth opportunities.
Matching Summary
Design, build, and maintain machine learning and optimisation models for real manufacturing problems such as soft sensors, quality prediction, set-point optimisation, and scheduling solvers.