Reliability Data Scientist

GroundProbe is a global technology leader specialising in real-time solutions for measuring and monitoring geohazards. We create state-of-the-art technologies and software that help our customer better manage risk, maintain operations, and keep people and communities safe. We are the brand most trusted in the market and widely recognised as an innovation powerhouse.

We are amazingly proud of our diverse, collaborative culture and are committed to an inclusive and supportive work environment that values and respects all individuals. We are a proudly flexible workplace that supports the wellbeing of our people as they balance their work and family lives. We promote diverse career paths and support the development of knowledge and skills.

GroundProbe is part of Orica Digital Solutions, a business stream of Orica.

The Reliability Data Scientist plays a critical role within the Operations Excellence function by using data science to enhance the reliability of GroundProbe's products and services. The role focuses on predictive maintenance, automation reporting, and data-driven decision-making to improve system performance and reduce downtime.

This position works closely with cross-functional teams, leveraging advanced analytics, machine learning, and statistical modelling to identify trends, predict failures, and recommend proactive maintenance actions—directly supporting GroundProbe's reliability objectives, operational excellence, and customer satisfaction.

1. Ensure personal and team compliance with all OH&S policies and procedures.
2. Analyze large datasets from GroundProbe's monitoring systems to uncover trends, insights, and recommendations to enhance product reliability.
3. Develop, validate, and deploy machine learning models and predictive maintenance algorithms to anticipate equipment failures and optimize performance.
4. Automate reliability reporting to provide actionable insights to leadership, focusing on downtime reduction and predictive maintenance outcomes.
5. Collaborate with cross-functional teams to integrate predictive insights into field operations and customer support activities.
6. Produce and present clear, data-driven reports, dashboards, and presentations for stakeholders.
7. Maintain data accuracy and integrity across CRM and monitoring systems to support predictive maintenance initiatives.
8. Drive continuous improvement in reliability KPIs by applying data science and advanced analytics.
9. Support key initiatives within the Operations Excellence program aimed at improving care plans and care margin performance.

1. Bachelor's degree in Data Science, Statistics, Computer Science, Reliability Engineering, or a related field.
2. 3+ years of experience in data science, predictive maintenance, or reliability analysis.
3. Demonstrated ability to deliver predictive models that reduce downtime and enhance system reliability.
4. Advanced proficiency in Python/R and data visualization tools.
5. Proven track record applying data science to predictive maintenance in operational environments.
6. Experience integrating data-driven reliability insights into maintenance and support programs.
7. Previous exposure to mining technology, industrial equipment, or heavy machinery (preferred).
8. Good understanding of Mining Safety Management System Aspect by always prioritizing Safety Value.

As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture. We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills.

You will be paid a competitive salary, learn from talented individuals across multiple disciplines and be able to thrive in a safe workplace within a collaborative culture. Ignite your career at a place where your distinct potential can find its home.

GroundProbe promotes and fosters a culture of inclusion and Equal Opportunity Employment everywhere we operate. We treat our people and applicants with fairness, dignity, and respect, getting the best of everyone's contributions.

All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, gender perception or identity, nationality, age, military or veteran, marital or disability status.