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Data Scientist for Predictive Maintenance
1 week ago
At Orica, we're seeking a talented Data Scientist for Predictive Maintenance to join our team. As a key member of our Operations Excellence function, you'll play a critical role in enhancing the reliability of our products and services using data science.
About the RoleThis position focuses on predictive maintenance, automation reporting, and data-driven decision-making to improve system performance and reduce downtime. You'll work closely with cross-functional teams, leveraging advanced analytics, machine learning, and statistical modeling to identify trends, predict failures, and recommend proactive maintenance actions.
Key Responsibilities- Analyze large datasets from our monitoring systems to uncover trends, insights, and recommendations to enhance product reliability.
- Develop, validate, and deploy machine learning models and predictive maintenance algorithms to anticipate equipment failures and optimize performance.
- Automate reliability reporting to provide actionable insights to leadership, focusing on downtime reduction and predictive maintenance outcomes.
- Collaborate with cross-functional teams to integrate predictive insights into field operations and customer support activities.
- Bachelor's degree in Data Science, Statistics, Computer Science, Reliability Engineering, or a related field.
- 3+ years of experience in data science, predictive maintenance, or reliability analysis.
- Demonstrated ability to deliver predictive models that reduce downtime and enhance system reliability.
- Advanced proficiency in Python/R and data visualization tools.