Data Scientist, IOC – Delmas needed at Exxaro Resources

Job Description

• As a Data Scientist, you will lead the design and deployment of intelligent analytical solutions to inform both tactical and strategic decision-making at the Integrated Operations Centre (IOC) level.
• Your role will include performing in-depth data analytics utilizing statistical methodologies, predictive modeling, and optimization algorithms to identify patterns, uncover opportunities, and mitigate risks across the operation’s value chain.
• You will construct and implement complex machine learning models and simulation frameworks to solve high-impact business challenges, from pit to port. Additionally, you will drive the adoption of data-driven approaches, and effectively translate complex analytical insights into actionable strategies for the business.

Minimum Requirements    
QUALIFICATIONS:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, engineering, computer science or related discipline (Essential/Minimum or)

EXPERIENCE: 

• 4+ years of extensive experience in applied data science, with a focus on practical and commercial analytics in mining or closely related industries.
• Technical expertise in leveraging advanced machine learning frameworks, libraries, and techniques for model development, deployment, and optimization.
• Demonstrated success in driving complex business integration projects that harness end-to-end data science techniques to enhance operational efficiency, improve decision-making, and drive innovation.
• Adept at developing and validating robust machine learning and AI algorithms, with a strong understanding of domain-specific challenges. 

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

Duties & Responsibilities    
Ideal Candidate Profile (Includes but not limited to):

Ability to:

• Develop and lead the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation. 
• Provide statistical analysis, forecasting, predictive modelling, prescriptive analytics, simulation and optimisation to discover trends, opportunities and threats. 
• Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimisation at the business unit. 
• Use data to support and optimise decision making, including predictive decision-making across the business value chain from the pit right through to the port.
• Ensure the availability of approved resources (skills, funding, technology, etc.) for modelling initiatives, driving change and influencing a wide range of stakeholders. 
• Communicate and present findings and recommendations to management and business. 
• Coach junior data scientists if required.