Data Scientist

Permanent; Johannesburg; On-site; ZAR 400,000 - 500,000; Full time

Job summary

A data solutions company in Johannesburg is looking for a Data Scientist to integrate organizational data and build analytics dashboards for various departments. The ideal candidate will have a Bachelor's Degree, 1–3 years of experience in data science, and proficiency in Python and Power BI. Familiarity with the mining or supply chain industry is a plus.

Qualifications

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

Responsibilities

• Consolidate organizational data into unified architectures.
• Build and maintain analytics dashboards.
• Design and deploy models for predictive maintenance and anomaly detection.
• Translate complex analytical insights into actionable narratives.

Skills

Data integration

Analytics dashboards

Applied machine learning

Data storytelling

Stakeholder engagement

Python

Power BI

Education

Bachelor's Degree in Computer Science, Engineering, or related field

Tools

Microsoft Fabric

Azure Data Factory

PostgreSQL

Scikit-learn

Azure ML

Job description

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