Onsite Predictive Analytics Engineer

1. Predictive Model & System Management

Deploy, maintain, and revamp predictive models for key rotating equipment.
Proactively identify opportunities and implement improvements to the current monitoring systems and predictive tools.
Support other end-users by communicating alerts and resolving technical problems within the models (tool champion role).
Manage and reduce false positive alerts ("fake alert killing") to ensure the effectiveness of the monitoring system.
2. Asset Reliability Management

Identify and communicate potential equipment failures or performance deviations based on predictive alerts.
Provide timely troubleshooting and clear recommendations to site teams to mitigate identified risks and close deviations.
Anticipate and communicate the impact of deviations on production to enable a shift from unplanned failures to planned maintenance.
Maintain deviation catch documentation for result compilation and the sharing of lessons learnt.
Are you a MATCH?
Bachelor degree or above in Engineering (Chemical or Mechanical), Data Science, or a related technical field.

3-5 years of experience in a relevant industrial environment, such as process engineering or reliability management, will be an advantage. Fresh Graduate with strong analytical attitude also welcome to apply!

Excellent communication skills, a high degree of autonomy, the ability to learn quickly, and resilience to work under pressure