Senior Data Scientist
Tasks
- Automate integrate and productionize AI workloads
- Build AI and intelligent automation products
- Develop analytical models
- Develop machine learning models on Big Data Platforms
- Present results to technical and non-technical audiences
- Provide big data insights
- Track and report model performance
Perks/Benefits
- Cell phone benefits
- Data benefits
- Fibre connection discounts
- Medical aid benefits
- Retirement benefits
- Risk benefits
- Staff discounts
Skills/Tech-stack
AWS | Athena | CloudWatch | Data Visualization | Docker | DynamoDB | Elasticsearch | Factor Analysis | Generative AI | Glue | Gradient boosting | Grafana | Java | K-Means | Kubernetes | LLMOps | Lake Formation | Lambda | Language Models | Large Language Models | MLOps | Machine Learning | Multiple Regression | NoSQL | Plotly | Power BI | PySpark | PyTorch | Python | R | Random Forest | Recommendation Systems | S3 | SQL | SageMaker | Scikit-learn | Series forecasting | Step Functions | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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