Data Scientist

Chrysos Corporation

Data Scientist optimizing predictive maintenance models for Chrysos' PhotonAssay™ technology. Analyzing maintenance data and supporting global collaboration within the mining technology industry.

Posted 5/23/2026full-timeTonsley • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudGrafanaPython

About the role

Key responsibilities & impact

Help the Maintenance team better utilise existing data sources.
Train deployable predictive maintenance models which improve the reliability and lifecycle performance of PhotonAssay™ automation, detector and linear accelerator systems.
Analyse maintenance and fault data to identify recurring failures and reliability risks.
Perform data analytics and visualisations to provide actionable insights.
Develop and refine condition monitoring and preventive maintenance strategies for PhotonAssay™ automation, detector and accelerator systems.
Train reliable and deployable Machine Learning models for predictive maintenance.
Optimise maintenance tasks and frequencies using data rather than fixed schedules, and incorporate approved strategies into MaintainX (maintenance management system) configuration, workflows, and maintenance programs.
Contribute to better preventive maintenance practices, resulting in improved PhotonAssay™ availability (less breakdowns), without increasing maintenance costs.
Recommend any additional sensors or measurements required if existing data sources are inadequate.
Support the accurate, complete, and consistent capture of fault, maintenance, and spares consumption data within Chrysos systems.
Analyse data and prepare structured insights and business impact assessments to inform and support prioritisation of improvement initiatives, including downtime and cost considerations.
Use Automation, Detector and Linac records and data streams for trend analysis, and develop dashboards.
Support spare parts optimisation by linking failure rates to criticality, stocking levels, and lifecycle forecasts.
Assist with maintenance planning improvements to balance reliability, cost, and operational availability.
Promote and support a strong workplace health and safety culture.
Perform other duties as reasonably required to support maintenance and operational excellence.
Support global collaboration across regions where reliability insights can deliver value.

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a closely-related discipline
Practical real-world approach to the application of Data Science, with a natural drive to deliver value in a timely manner
Experience in combining disparate data sources from different software platforms
Strong ability to understand complex technical systems including robotic automation systems and linear accelerator systems, and the data produced
Strong analytical skills
Proven capability in data-driven problem-solving and decision-making
Competent Python programming for data wrangling, data analytics, data visualisations, and training and verification of Machine Learning models for predictive maintenance
Excellent written and verbal communication skills, particularly for technical reporting
Willingness to travel to customer sites in Australia as required.
General understanding of Applied Physics, Mechanical Engineering and Electrical Engineering (desirable)
Experience with COTS platforms, including Power BI, MaintainX, Grafana, Excel (desirable)
Experience with cloud computing, particularly AWS/Snowflake (desirable)
Experience with deploying trained ML models (desirable).

Benefits

Comp & perks

Flexibility and wellbeing initiatives to help you maintain a healthy work-life balance.
Opportunities to work with groundbreaking equipment that's transforming the mining industry and reducing its environmental impact.
Collaboration with industry experts and the chance to grow and develop professionally.
Exciting career prospects and room for advancement.

ATS Keywords

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Hard Skills & Tools

data analyticsdata visualisationspredictive maintenancemachine learningPython programmingdata wranglingdata-driven problem-solvingcondition monitoringpreventive maintenance strategiestrend analysis

Soft Skills

analytical skillscommunication skillsproblem-solvingcollaborationtimely deliveryworkplace health and safety culture

Certifications

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Mathematics