3071 Data Scientist (Senior)
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Job Location:
Pretoria - South Africa
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Reference: JHB001388-NN-1
ESSENTIAL SKILLS:
ADVANTAGEOUS SKILLS:
ESSENTIAL SKILLS:
- Data analysis exploration and feature engineering (EDA)
- Strong applied statistics and machine learning foundations
- Python-based data science and ML stack (e.g. pandas NumPy scikit-learn PyTorch / TensorFlow)
- Data engineering skills: ETL design batch and streaming data processing
- Experience with distributed data systems (e.g. Kafka Spark or equivalent)
- SQL and structured / semi-structured data querying
- Experiment design model evaluation and validation techniques
- Dashboarding reporting and data visualisation for insights and decision support
- Business problem translation and requirements understanding
- Version control and collaborative development (Git)
ADVANTAGEOUS SKILLS:
- MLOps practices (model packaging deployment pipelines monitoring awareness)
- Data governance principles (data quality lineage ownership compliance awareness)
- Model evaluation performance tracking and drift detection concepts
- Cloud-based data and ML environments (Azure / AWS)
- Generative AI and LLM-based solution experience (preferred not essential)
- AI agent or advanced prompting familiarity
- Experience collaborating with observability and platform engineering teams
- Domain-specific knowledge aligned to business use cases
Duties & Responsibilities
ROLE & RESPONSIBILITIES:
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- 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
- 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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Required Experience:
IC
