Data scientist

We are looking for a data scientist to develop a predictive model that identifies customers who are likely to churn from our e-commerce platform. The model will help inform retention strategies and personalized campaigns.

📦 Deliverables:
Cleaned and pre-processed dataset.

Exploratory Data Analysis (EDA) report.

Churn prediction model using machine learning (preferably Random Forest or XGBoost).

Model performance metrics (AUC, accuracy, precision, recall).

Jupyter Notebook with full code and explanations.

Final report with findings and recommendations.

📊 Data Provided:
Transaction logs (CSV)

User activity data (JSON)

Customer demographics (Excel)

✅ Skills Required:
Python (pandas, scikit-learn, matplotlib, seaborn)

Experience with classification models

Strong EDA and feature engineering

Data visualization and storytelling

Good documentation and code clarity

⏱️ Duration: 2 weeks
💰 Budget: €100 – €200