If you’re passionate about data science and eager to be at the forefront of innovation within the mining sector, Exxaro’s Data Scientist vacancies offer the perfect opportunity to channel your expertise. With positions based at various sites including Kriel, Delmas, and Belfast in Mpumalanga, Exxaro is seeking visionary individuals to join their Integrated Operations Centre (IOC) for a 12-month contract role.
Data Scientist Job Overview
- Job Title: Data Scientist, IOC
- Job Type Classification: Contract
- Location: Various locations in Mpumalanga, South Africa
- Closing Date: 30 September 2024
Why Choose Exxaro?
Exxaro isn’t just a mining company; it’s a community where employees are integral to the collective success. As a leader in the resources industry, Exxaro is renowned for its commitment to innovation and sustainability, ensuring long-term value for both employees and the company as a whole. The Exxaro team thrives on collaboration and achievement, and as a Data Scientist at their IOC, you’ll play a pivotal role in driving operational excellence.
Data Scientist Job Description
As a Data Scientist within Exxaro’s IOC, you will be responsible for transforming raw data into strategic insights that shape decision-making across the business value chain, from the pit to the port. The role entails leading the development of intelligent analytical solutions that inform tactical and strategic decisions across Exxaro’s mining operations.
Responsibilities
The primary tasks include:
- Advanced Analytics Modeling: Using data science to create models that help predict future trends, optimize processes, and improve operational efficiency.
- Data-Driven Decision Making: Supporting business decisions with evidence-based analytics, from predictive to prescriptive analytics.
- Machine Learning: Applying sophisticated machine learning models to solve complex business problems, from optimizing mining operations to managing logistics.
- Risk Mitigation: Identifying risks and opportunities through advanced data analytics, ensuring Exxaro stays ahead of potential challenges.
- Collaboration and Communication: Working closely with management and various business units to implement data-driven strategies.
- Coaching Junior Scientists: Guiding junior data scientists in the team, fostering growth and ensuring high standards across the department.
Requirements
To qualify for this role, the following academic and professional credentials are essential:
- Bachelor’s Degree: A degree in statistics, applied mathematics, engineering, computer science, or a related discipline is required.
- Work Experience: A minimum of 4 years of experience in applied data science, particularly in mining or closely related industries. The experience should demonstrate practical applications of analytics and the use of advanced machine learning frameworks.
- Technical Expertise: Familiarity with advanced machine learning libraries, frameworks, and tools for model development and optimization. Candidates should also have a proven track record in delivering high-impact, data-driven projects that drive innovation and efficiency within business operations.
Additional Requirements
In addition to qualifications and experience, there are some critical prerequisites for this position:
- Psychometric Assessment: Candidates will undergo a psychometric assessment to ensure they are well-suited to the demands of the role.
- Certificate of Fitness: As this role involves working in the mining environment, a certificate of fitness is required and will be conducted by Exxaro.
Ideal Candidate Profile
An ideal candidate for this role should be:
- Proficient in Data Science Methodologies: Expertise in statistical analysis, predictive modeling, machine learning, and optimization algorithms is crucial.
- Business-Oriented: Ability to apply technical skills in a business context, identifying key opportunities for improvement and optimizing decision-making processes.
- Innovative and Strategic: Capable of designing and implementing complex machine learning models that address specific business challenges, and offering insights that drive value creation.
- Collaborative: Able to work effectively with other teams and communicate findings clearly to both technical and non-technical stakeholders.
- Problem Solver: Adept at identifying problems and offering data-driven solutions to optimize operations.
Why Work for Exxaro?
At Exxaro, you’ll be part of a forward-thinking team that values innovation, sustainability, and collaboration. The company offers a unique opportunity to work at the cutting edge of technology in the mining industry, using data science to drive real-world improvements in operational efficiency and decision-making.
Additionally, working with Exxaro means being part of a company that is deeply committed to the well-being of its employees, fostering a culture where every team member’s contribution is valued. You won’t just be part of a business; you’ll be part of a winning team that celebrates success together.
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How to Apply
If you’re excited about driving meaningful change through data science and are ready to contribute to Exxaro’s mission of excellence, you can apply for this role by visiting the Exxaro careers portal. Applications close on 30th September 2024, so make sure to submit your application before the deadline.
Click on the links below to apply for the position in your desired location:
- Matla Coal (Kriel, Mpumalanga) – Reference Number: P40243702
- Leeuwpan Coal (Delmas, Mpumalanga) – Reference Number: P40243708
- Belfast Coal (Belfast, Mpumalanga) – Reference Number: P40243707
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Exxaro’s Data Scientist vacancies present a remarkable opportunity for skilled professionals eager to make a tangible impact in the mining industry. As a Data Scientist within the Integrated Operations Centre (IOC), you’ll not only apply cutting-edge data science techniques but also be part of a forward-thinking team that values innovation, collaboration, and excellence. Whether you’re optimizing mining operations or driving strategic decision-making, your role will be crucial in shaping Exxaro’s future.