M-Pesa Africa: Principal Data Scientist
Tasks
- Automate and productionize models with data engineering
- Build prototype code for training and scoring
- Create data visualizations for storytelling
- Create machine learning and AI products
- Deliver packages of work with business stakeholders
- Develop machine learning models for business areas
- Develop predictive models
- Ingest data with big data engineering
- Manage portfolio of work
- Mentor and manage junior data scientists
- Track machine learning model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Artificial Intelligence | Churn Prediction | Credit Scoring | Customer churn | Customer churn prediction | D3 | Data Science | Fraud Detection | Gradient boosting | H2O | Hadoop | K-Means | Linear Regression | Machine Learning | NoSQL | Predictive Modeling | PySpark | PyTorch | Python | Qlik | R | Random Forest | Recommendation Systems | SQL | Scikit-learn | Series forecasting | Tableau | Time Series | Time Series Forecasting
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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