More jobs:
Data Scientist
Job in
Johannesburg, 2000, South Africa
Listed on 2026-02-17
Listing for:
Network Recruitment
Full Time
position Listed on 2026-02-17
Job specializations:
-
IT/Tech
Data Scientist, Data Analyst
Job Description & How to Apply Below
We are looking for a Data Scientist who loves solving real business problems and turning data into practical, high‑impact solutions. This role sits within a hands‑on analytics team that partners closely with the business to drive smarter decisions across a fast‑paced, consumer‑focused environment.
This is not a “model‑only” role. You will work across the full data lifecycle — from understanding the business question to deploying scalable machine learning and statistical models that make a tangible difference.
What You’ll Be Doing:- Build, deploy, and maintain statistical and machine learning models using Python, SAS, and SQL
- Design and implement AI‑driven solutions to solve complex commercial and operational challenges
- Work across the full data lifecycle: sourcing, cleaning, preparing, and analyzing large and complex datasets
- Translate ambiguous business problems into structured, data‑driven solutions
- Create clear visualizations and dashboards to communicate insights and recommendations
- Work within modern analytics platforms and cloud environments (e.g.
AWS, SAS Viya
) - Collaborate closely with business stakeholders to ensure solutions are practical, relevant, and impactful
Your Technical Toolkit
- Strong, hands‑on experience with Python, SAS, and SQL
- Proven experience building and deploying ML and statistical models
- Solid data preparation, data‑wrangling, and analytical skills
- Exposure to cloud platforms and large‑scale analytics environments
- Experience using data visualization tools to tell a clear story
- Honours, Master’s, or PhD in a quantitative field (e.g. Statistics, Mathematics, Engineering, Economics, Data Science)
- Strong theoretical understanding of statistics and modelling — knowing why a model works, not just how to run it
This role is designed for a professional who wants to influence outcomes, challenge assumptions, and lead through analysis — not just execute tasks
.
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