Data Scientist – Mecs

[Logistics & Supply Chain, IT, Machine Learning, General Analytics, Business Intelligence]
South Africa
July 25, 2025
Full Time
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Job Description

Are you passionate about turning complex data into actionable insights?
We are seeking a Data Scientist to join our high-performing team in a dynamic environment focused on mining, mineral processing, and supply chain operations. You’ll drive business-critical decisions through advanced analytics, machine learning, and integrated business intelligence.

Location: Kempton Park
Position: Permanent

Minimum Requirements
Qualification:

  • Bachelor’s Degree in Computer Science, Engineering, or a related field

Experience:

  • 1–3 years’ experience in a data science role
  • Exposure to mining, mineral processing, or supply chain environments is preferred

Key Responsibilities:
Enterprise Data Integration

  • Consolidate organizational data into unified, accessible architectures using modern warehousing/lakehouse methods

Business Intelligence Enablement

  • Build and maintain analytics dashboards for departments such as Finance, Supply Chain, Customer Service, Engineering, and Projects

Applied Machine Learning

  • Design and deploy models for predictive maintenance, anomaly detection, and RUL estimation

Stakeholder Engagement & Ad Hoc Analytics

  • Work closely with stakeholders to solve business problems through data-driven solutions

Data Storytelling

  • Translate complex analytical insights into impactful, actionable narratives for various audiences

Technical Proficiency
Data Engineering & Integration

  • Microsoft Fabric (OneLake, Lakehouse, DW) – Advantageous
  • ETL/ELT tools (Azure Data Factory, Synapse Pipelines)
  • Dimensional modelling (Star/Snowflake schema)
  • SQL (T-SQL, M code), Data Gateway knowledge
  • PostgreSQL / SQL Server

Machine Learning & Analytics

  • Python (required), R/Spark (beneficial)
  • Time Series Forecasting (ARIMA, Prophet, LSTM)
  • Predictive Maintenance Techniques
  • Scikit-learn, Azure ML, Azure Functions/AKS

Business Intelligence

  • Power BI (DAX, M code, dashboards)
  • Root cause analysis, ad hoc reporting

Software & Cloud Development (Advantageous)

  • REST APIs, Azure App Services
  • Microservices and web-based ML integration

Supply Chain & Inventory Analytics (Advantageous)

  • Inventory optimization, demand planning
  • EOQ, reorder point, ABC analysis