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  • Posted: Oct 19, 2023
    Deadline: Not specified
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    Globe 24-7 commenced in 2003 providing HR Consulting services to the Australian mining industry and within 2 years expanded to offer these services internationally with a particular focus on developing markets. Since that time, the company has built a global footprint and currently has staffed offices in Perth, Singapore, London, Toronto, Vancouver, Ulaan...
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    Senior Data Scientist (Processing)

    The Role

    The candidate will be responsible for bridging the gap between processing experts and the wealth of data the processing operations produce.

     
    The Responsibilities

    • Proactively identify and champion machine learning initiatives that are highly applicable and can innovate practices within the mining industry in the processing and met asset domains.
    • Engage with Asset leadership to precisely understand specific business challenges, ensuring that these problems can be addressed using state-of-the-art analytics and AI solutions.
    • Oversee and govern data models provided by external consultants to ensure consistency, reliability, and alignment with company standards.
    • Data Analysis: Analyze large datasets to extract meaningful insights and trends using, maintaining and improve the internal technology stack.
    • Machine Learning Model Development: Design, develop, and deploy machine learning models tailored to specific business challenges.
    • Reporting: Present findings and insights to both technical and non-technical audiences in a clear and concise manner.

    The Requirements

    • Degree in Engineering, Computer Science, or a related discipline.
    • Master’s or PhD in Statistics, Mathematics, Computer Science, or another quantitative field (desirable).
    • More than 5 years’ experience manipulating data sets and building statistical models.
    • Solid understanding of data science and machine learning foundations.

    Method of Application

    Interested and qualified? Go to Globe 24-7 on globe24-7.com to apply

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