Data Scientist - Portfolio at M-KOPA

Expertise in the following would really highlight your suitability

• Python
• Proficient in popular machine learning frameworks for time series data, including:
• Scikit-learn
• Tree-based models
• Regression models
• Plotly
• dbt / databricks
• Looker
• Experienced with Continuous Integration/Continuous Deployment (CI/CD) frameworks.
• Experienced in monitoring models in production environments.
• Experienced with cloud services (AWS, GCP, Azure).
• Well-versed in MLOps best practices.
• Experience in developing forecasting models, especially for risk and fraud detection.
• Strong problem framing and problem-solving skills.