Data Scientist

Minopex; Johannesburg; Hybrid; ZAR 600,000 - 900,000; Full time

Job summary

Minopex is seeking a Data Scientist to analyse and interpret data across 13 operational sites in the EMEA region, working from Head Office in Woodmead with a hybrid setup. You will build predictive models, develop data pipelines, and present insights to stakeholders across the business.

The role requires 3+ years in data science, strong Python/R/SQL skills, and experience deploying ML in production. English fluency and collaboration with cross-functional teams are essential.

Qualifications

• Bachelor’s degree in an engineering or computer science field or related area.
• Post graduate qualification in data science is advantageous.
• 3+ years of data science experience in an industrial setting.

Responsibilities

• Analyse, process, model and interpret data to support 13 sites across the EMEA region.
• Collect, clean and manipulate large datasets to extract insights and build predictive models.
• Apply advanced statistics and ML techniques to deploy production-ready models.
• Communicate findings to both technical and non-technical stakeholders via reports and dashboards.
• Collaborate with data scientists, engineers and analysts to build scalable data pipelines.
• Engage with sites to understand process context, data collection and extraction methods.
• Continuously evaluate and improve models for accuracy and effectiveness.
• Stay updated on new data science tools and methodologies and suggest new approaches.
• Lead analytical projects from initiation to closure and manage client expectations.
• Develop Power BI links and data visualizations to support decision making.

Skills

Python

R

SQL

Data analysis

Education

Bachelor's Degree in relevant field

Post Graduate qualification in data science

Tools

Power BI

Databases

Data warehousing

MS Office

Job description

Introduction

This position will be based at Head Office in Woodmead. (Hybrid)

Description

The purpose of this role is to analyse, process, model and interpret the data to create actionable plans for the 13 operational sites across the EMEA region. The Data Scientist will be a valuable member of a dynamic department that operates similarly to a startup within a larger corporate structure, driving innovation and implementing creative solutions.

Duties and Responsibilities

• Work closely with stakeholders to identify business problems and opportunities for data-driven solutions.
• Collect, clean, and manipulate large datasets to extract insights and generate predictive models.
• Apply advanced statistical and machine learning techniques to build and deploy models that can make accurate predictions and recommendations.
• Communicate findings to technical and non-technical stakeholders through reports, visualizations, and presentations.
• Collaborate with other data scientists, engineers, and business analysts to develop scalable and efficient data pipelines and workflows.
• Working in collaboration with various sites is an essential part of the role, which involves gaining an understanding of the process context, data collection, and extraction methods.
• Continuously evaluate and improve models and algorithms to ensure their accuracy and effectiveness.
• Stay up-to-date with new data science and machine learning technologies and methodologies, and recommend new tools and approaches for solving business problems.
• Execution of analytical projects and investigations (initiation, planning, execution, monitoring and control and closure)
• Conducting literature surveys
• Management of client expectations through regular interactions
• PowerBi development and data linking

Qualification Requirements

• Bachelor’s Degree in Industrial Engineering, Chemical/Process Engineering, Computer Science, Electrical Engineering, Metallurgical Engineeringor in a relevant field
• Post Graduate qualification in data science or related fields will be advantageous

Experience and SkillsRequirements

• 3+ years data science experience.
• Deep understanding on the fundamental workings behind different machine learning algorithms.
• Strong programming skills in languages such as Python or R and SQL.
• Experience in applied machine learning in industrial contexts.
• Understanding of deploying a machine learning in a production environment
• Familiarity with database technologies and data warehousing concepts
• Experience indata analysis with data manipulation, cleaning, and wrangling techniques.
• Good communicator and interpersonal skills
• Proficiency in report writing andclientpresentations using MS Office Word, Excel, PowerPoint, MS Projects.
• Medically fit and be able pass medical examinations at mining sites.
• Fluent in English(Read, write, and speak)
• Experience in industrial mineral processing would be advantageous.