3071 Data Scientist (Senior)
Imizizi Menlyn
ROLE & RESPONSIBILITIES:
- Translate business problems into data-driven and AI-enabled solutions
- Perform exploratory data analysis to uncover patterns, issues, and opportunities
- Design, build, and maintain data pipelines to support analytics and modelling use cases
- Develop, train, evaluate, and iterate on machine learning and AI models
- Apply appropriate model evaluation techniques and define success metrics
- Support operational data workflows and resolve day-to-day data processing issues when required
- Produce clear dashboards, reports, and visualisations for stakeholders
- Communicate insights, model behaviour, and recommendations to both technical and business audiences
- Collaborate closely with data engineering, AI platform, and observability teams to productionise solutions
- Contribute to best practices around data quality, governance, and responsible use of AI
QUALIFICATIONS/EXPERIENCE:
- Is outcome-driven, not model-driven
- Is comfortable working close to data pipelines and production constraints
- Can explain models and uncertainty to business stakeholders
- Collaborates naturally with platform, AI engineering, and observability teams
- Understands that trust, transparency, and governance are as important as accuracy
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ImiziziMenlyn
machine learning pipelines.
• Work closely with international teams of data scientists, ML and software engineers to deliver solutions.
• Provide support for low-code/no-code solutions to enable business users where applicable.
• Stay up to date with advances...
Open Source (Pty) LtdMenlyn
to address business needs.
• Translate stakeholder requirements into effective ML solutions.
• Write production-level Python code and contribute to reusable machine learning pipelines.
• Collaborate with international teams of data scientists, ML engineers...
ImiziziMenlyn
excellence.
• Own end-to-end system design for AI workloads: data pipelines, model training, inference, orchestration, and lifecycle management.
• Integrate foundation models into enterprise RAG and tool-use pipelines, enabling complex, real-world use cases...