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 ***email_hidden*** 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.