Senior Data Scientist (Mining) at Globe 24-7

The Role

The role is designed to harness the power of data, converting raw numbers into actionable strategies. This position will delve deep into the mining data, analysing geological information, operational efficiency, and predictive maintenance, ensuring that the company stays ahead in data-driven decision making.

The Responsibilities

• Proactively identify and champion machine learning initiatives that are highly applicable and can innovate practices within the mining industry in the mining and resource development 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.
• Leverage the latest methodologies in deep learning, reinforcement learning, and AI to craft effective solutions for prevailing business issues.
• Maintain and monitor machine learning operations, ensuring efficient execution, up-to date model performance, and prompt troubleshooting of any issues.
• Data Analysis: Analyse large datasets to extract meaningful insights and trends using, maintaining and improve the internal technology stack.
• Risk Management: Identify potential risks in data-driven solutions and implement strategies to mitigate them.

The Requirements

• Degree in Engineering, Computer Science, or a related business discipline
• Desirable Master’s or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
• Qualifications & Experience:
• More than 5 years of experience manipulating data sets and building statistical models.
• More than 1 year of experience on site mines, in operations or dispatch
• Leadership experience, technically guiding and motivating data scientists and analysts
• Familiarity with statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Social Network Analysis etc.
• This role will require travel to site and global facilities regularly.