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| Title: | Data Scientist – R60k/month – JHB (Kempton Park) – Perm – Start asap – EE candidates preferred |
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| Max Salary: | R60k/month | ||
| Decription: | Duties and responsibilities (include but are not limited to): • Enterprise Data Integration – Consolidating data across the enterprise into a single source of truth through modern data warehousing and lakehouse architectures. • Business Intelligence Enablement – Developing and maintaining enterprise-level analytics to support the monitoring and optimization of key business functions such as Finance, Supply Chain, Customer Service, Project Management, and Engineering. • Applied Machine Learning for Equipment Monitoring – Designing and deploying machine learning models within web applications to enable predictive maintenance, anomaly detection, failure prediction, and estimation of the remaining useful life (RUL) of spare parts. • Stakeholder Engagement and Ad Hoc Analytics – Collaborating with internal and external stakeholders to address data-driven inquiries and support project-specific analysis related to equipment performance and operational efficiency. • Insight Communication and Data Storytelling – Delivering presentations and effectively communicating analytical insights to a wide range of stakeholders, ensuring that data-driven strategies are clearly understood and actionable. Technical Skills Data Engineering & Integration • Proficiency with Microsoft Fabric (OneLake, Lakehouse, Data Warehouse) - advantageous • Experience with ETL/ELT pipeline development (e.g., Azure Data Factory, Synapse Pipelines) • Strong knowledge of Kimball dimensional modelling (star vs. snowflake schema) • SQL (T-SQL, M code) • Data ingestion from various sources (ERP, On-prem and Cloud databases, CRM, SharePoint, OneDrive, etc.) • Knowledge of Data Gateways for on-prem data and cloud resources integration. • Knowledge of Databases (PostgreSQL, SQL Server) Machine Learning & Advanced Analytics • Python (primary), R (optional), Spark (beneficial) • Time series forecasting (e.g., ARIMA, Prophet, LSTM, etc.) - • Descriptive and Inferential Statistics • Predictive Maintenance Modelling: failure prediction, anomaly detection, RUL estimation • ML frameworks such as Scikit-learn • Model Deployment using Azure Machine Learning, Azure Functions, or AKS Business Intelligence • Strong skills in Power BI (Data Modelling, M Code, DAX, dashboards) • Experience answering ad hoc queries and interpreting complex datasets • Ability to perform root cause analysis and correlation studies on equipment performance Software & Cloud Development – Advantageous • Familiarity with REST APIs and microservices for integrating ML models into web applications. • Understanding of web app deployment and hosting on Azure App Services Supply Chain & Inventory Analytics – Advantageous • Understanding of inventory control, demand planning, working capital optimization • Experience with inventory optimization models (e.g., EOQ, reorder point models, ABC analysis) Soft Skills • Strategic thinking – Ability to align data science efforts with business objectives and operational goals • Strong communication skills – Capable of explaining complex technical concepts to non-technical stakeholders • Cross-functional collaboration – Working with operations, supply chain, field engineers, and IT teams • Adaptability – Ability to shift between long-term projects (like ML models) and short-term needs (like ad hoc analysis) • Curiosity and initiative – Willing to explore new data sources and continuously improve solutions • Project management skills – Managing timelines, scoping, and stakeholder expectations • Resilience under uncertainty – Working with incomplete data, evolving business needs, or experimental equipment QUALIFICATION • Degree in Computer Science, Engineering or related field EXPERIENCE • 1-3 years + experience within a data science environment, preferably with mining and mineral processing experience or supply chain experience To apply please email your updated CV in Word format along with a copy of your ID, qualification/s, reference letters or contactable referees and a profile picture of yourself to cvs4belinda@therecruiters.co.za Please note only candidates who meet the above will be considered for this position |
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| Location | Johannesburg | ||
| Consultant: | Belinda McIntosh | ||
| Email: | cvs4belinda@therecruiters.co.za | Share This Job | |