Data Scientist, IOC
at Exxaro Recruitment
Belfast, Mpumalanga, South Africa -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 22 Dec, 2024 | Not Specified | 24 Sep, 2024 | 4 year(s) or above | Computer Science,Optimization,Data Science,Operational Efficiency,Mathematics,Machine Learning,Integration Projects,Model Development,Mining,Decision Making,Statistics | No | No |
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Description:
JOB ADVERT SUMMARY
At the heart of Exxaro Resources, our success story is not just written in numbers but in the vibrant tapestry of our people. We are more than a company. We are a winning team, a community of passionate individuals who find fulfilment in shared victories. Joining Exxaro isn’t just about a job; it’s about becoming part of a winning family, where each member plays a vital role in our collective success. If you are ready to be a part of this incredible journey, where your contributions matter, your aspirations are nurtured, and together we create a legacy of excellence check out the following opportunity that is available at Exxaro
Join Us as a Data Scientist and Lead the Future of Insight-Driven Innovation!
Are you ready to drive tactical and strategic value creation with your data science expertise? We’re on the hunt for a visionary Data Scientist to join our dynamic team at the Integrated Operations Centre. This is your chance to leverage cutting-edge analytics to transform data into actionable insights that propel our business forward.
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)
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.
If you are passionate about using data science to drive meaningful change and create value, we want to hear from you!
Apply today to be at the forefront of innovation and make a significant impact as our Data Scientist!
To view the full job details, please refer to the below attachment
REQUIREMENT SUMMARY
Min:4.0Max:9.0 year(s)
Information Technology/IT
Analytics & Business Intelligence
Software Engineering
Graduate
Statistics applied mathematics engineering computer science or related discipline (essential/minimum or
Proficient
1
Belfast, Mpumalanga, South Africa