Responsibilities

• Monitoring real-time data streams from field sensors and responding to alerts.
• Consistently following SOPs (Standard Operating Procedures) to investigate and localize real-time faults with minimal error.
• Quickly and efficiently working with Supervisors on ad-hoc data requests, and following up during ongoing investigations.

• STEM degree (science, technology, engineering, or mathematics)
• Proficiency in English – must be able to efficiently communicate event information
• Basic understanding of data analytics and anomaly detection
• A passion for working in a fast-paced environment
• Highly motivated, proactive, able to perform duties without supervision
• Being willing to work night shifts and weekends
• Ability to work 40 hours per week

Preferred Qualifications

• Basic proficiency with Python programming
• Research experience (STEM preferred)
• Experience working with metadata or data annotation
• Experience with real-time work and/or making reports