Data Scientist

Data Scientist

We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.

Key Responsibilities

• Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
• Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
• Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
• Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
• Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
• Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
• Document models, workflows, and results following best practices for reproducibility and governance.

Key Qualifications

• 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
• Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
• Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
• Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
• Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
• Familiarity with Power BI or similar tools for insight visualization and stakeholder communication