Data Scientist
A ZAR 660K-720K (estimate) Senior-level Full Time
Tasks
- Build dashboards and visualizations
- Build data pipelines and integration frameworks
- Conduct data exploration and pattern analysis
- Deploy and maintain machine learning models with MLOps pipelines
- Detect anomalies and perform root cause analysis
- Develop AI agents for decision automation
- Develop and deploy machine learning models for forecasting
- Experiment with prompt engineering and fine-tuning
- Implement LLM and RAG for retrieval and summarization
- Implement model version control and governance
- Integrate analytics components into production environments
- Measure impact of data science initiatives using business KPIs
- Monitor models track performance and detect drift
- Perform data cleaning transformation and feature engineering
- Translate analytical outcomes into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | AWS | Anomaly Detection | Azure | Classification | Cloud platform | Clustering | Data Modeling | Data Wrangling | Deep learning | Drift Detection | Fine Tuning | Forecasting | Google Cloud | Google Cloud Platform | Hypothesis Testing | LLM | Langchain | MLOps | Machine Learning | Model Monitoring | Model version control | Network Analytics | NumPy | Optimization | Pandas | Plotly | Power BI | Probability | Prompt engineering | PySpark | PyTorch | Python | R | RAG | SQL | Statistics | Tableau | TensorFlow | Vector Databases | Version control
Education
Roles
Countries
States
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