
Executive/Senior Engineer, Engineering Data Analytics Center (EDAC)
Salary undisclosed
Checking job availability...
Original
Simplified
- Analyze historical and real-time sensor data to identify patterns, anomalies, and early signs of equipment deterioration.
- Evaluate and select appropriate sensor technologies and data collection methods for effective predictive maintenance.
- Optimize maintenance schedules based on predictive insights to minimize downtime and reduce maintenance costs.
- Continuously calibrate and refine predictive models to improve accuracy and reduce false alarms.
- Integrate data from various sources, such as IoT devices, sensors, and maintenance records, for comprehensive analysis.
- Collaborate with data analysts, maintenance teams, and business stakeholders to implement predictive maintenance strategies.
- Maintain accurate records of predictive model performance, maintenance actions, and equipment health status.
- Stay updated with emerging predictive maintenance technologies and best practices, and lead initiatives to enhance predictive maintenance capabilities within the organization.
- Degree in Mechanical / Electrical / Electronics Engineering / Computer Science / Computing or equivalent from a recognized institution
- Proven working experience in a predictive analytics
- Previous Railway System experience would be advantageous
- Technical expertise in data science and its related workflow/process
- Knowledge of statistics and experience using statistical packages for analyzing datasets
- Competent in Python and AI/ML
- Strong planning skills and high on conscientiousness
- Able to work independently and as a team effectively adjusting oneself flexibly to different work situations
- Fluent in written and oral communication skills in English
- Team player
Moving People. Enhancing LifestylesCore Values
Respect, Integrity, Safety & Service, Excellence
- Analyze historical and real-time sensor data to identify patterns, anomalies, and early signs of equipment deterioration.
- Evaluate and select appropriate sensor technologies and data collection methods for effective predictive maintenance.
- Optimize maintenance schedules based on predictive insights to minimize downtime and reduce maintenance costs.
- Continuously calibrate and refine predictive models to improve accuracy and reduce false alarms.
- Integrate data from various sources, such as IoT devices, sensors, and maintenance records, for comprehensive analysis.
- Collaborate with data analysts, maintenance teams, and business stakeholders to implement predictive maintenance strategies.
- Maintain accurate records of predictive model performance, maintenance actions, and equipment health status.
- Stay updated with emerging predictive maintenance technologies and best practices, and lead initiatives to enhance predictive maintenance capabilities within the organization.
- Degree in Mechanical / Electrical / Electronics Engineering / Computer Science / Computing or equivalent from a recognized institution
- Proven working experience in a predictive analytics
- Previous Railway System experience would be advantageous
- Technical expertise in data science and its related workflow/process
- Knowledge of statistics and experience using statistical packages for analyzing datasets
- Competent in Python and AI/ML
- Strong planning skills and high on conscientiousness
- Able to work independently and as a team effectively adjusting oneself flexibly to different work situations
- Fluent in written and oral communication skills in English
- Team player
Moving People. Enhancing LifestylesCore Values
Respect, Integrity, Safety & Service, Excellence