CairoRetail Group is looking for a machine learning expert to build a customer churn prediction model for their e-commerce platform. The aim is to proactively identify at-risk customers and support marketing in targeting them with retention campaigns.
Requirements:
Strong experience with classification algorithms (Logistic Regression, Random Forest, XGBoost)
Familiarity with customer behavior and churn indicators in retail
Proficiency in Python and use of Scikit-learn, Pandas, Matplotlib/Seaborn
Skill in feature engineering from transactional data
Ability to explain model results to business stakeholders
مراحل الوظيفة
Deliveries
Preprocessed dataset with EDA summary
Binary classification model with high precision/recall
Feature importance visualization
ROC-AUC, confusion matrix, and actionable insights
Notebook + optional retention strategy suggestions