Data Scientist

Our client is seeking a talented Data Scientist to join their team in Johannesburg. This role offers an opportunity to work across enterprise data, business intelligence and applied machine learning, with a strong focus on turning complex operational data into practical business insights and solutions.

Key Responsibilities

• Consolidate enterprise data into reliable single sources of truth using modern data warehousing and lakehouse architectures.
• Develop and maintain analytics solutions supporting Finance, Supply Chain, Customer Service, Project Management and Engineering.
• Design and deploy machine learning models for predictive maintenance, anomaly detection, failure prediction and Remaining Useful Life (RUL) estimation.
• Perform ad hoc analysis and respond to data-driven business requirements.
• Conduct root cause analysis and correlation studies relating to equipment performance.
• Collaborate with operations, supply chain, field engineering, IT and other stakeholders.
• Present analytical findings and communicate insights clearly to technical and non-technical audiences.
• Support the development of data-driven strategies and operational improvements.

Minimum Requirements

• Degree in Computer Science, Engineering or a related field.
• 1–3 years' experience within a data science environment.
• Mining and mineral processing or supply chain experience would be advantageous.
• Strong Python skills, with R and Spark advantageous.
• Strong SQL skills, including T-SQL and M Code.
• Experience with relational databases such as PostgreSQL and SQL Server.
• Knowledge of dimensional modelling, particularly Kimball methodology.
• Experience with ETL/ELT pipelines and data ingestion from varied enterprise sources.
• Strong Power BI capabilities, including data modelling, DAX, M Code and dashboard development.
• Knowledge of machine learning frameworks such as Scikit-learn.
• Understanding of statistical analysis and time-series forecasting techniques.
• Exposure to predictive maintenance modelling, anomaly detection and failure prediction.
• Microsoft Fabric, Azure Data Factory, Synapse, Azure Machine Learning or related Azure technologies would be advantageous.
• Experience with REST APIs, microservices and Azure App Services would be beneficial.
• Supply chain and inventory analytics experience would be advantageous.

Key Attributes

• Strategic and analytical approach to problem-solving.
• Strong communication and data storytelling skills.
• Comfortable explaining technical concepts to non-technical stakeholders.
• Able to collaborate across multiple business functions.
• Adaptable and comfortable balancing long-term projects with ad hoc analytical requirements.
• Curious, proactive and committed to continuous improvement.
• Strong organisational and project management abilities.
• Professional, well-spoken and confident when engaging with stakeholders.

Only shortlisted candidates will be contacted.

Submit your CV to Sign in to view email or call 021 555 0432.

Visit our website for more exciting career opportunities: https://mspstaffingza.co/

Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.