Role Overview

As a Data Scientist in our Advertising Technology division, you will design and implement machine learning models and optimization algorithms to improve ad delivery efficiency and maximize campaign performance. You will own the end-to-end lifecycle, from hypothesis formulation and feature engineering to deployment and continuous improvement in production environments.

Key Responsibilities

• Define optimization problems for ad delivery, including KPIs, metrics, and monitoring dashboard
• Perform data preprocessing, feature engineering, and model development for:
• Price optimization
• CTR/CVR prediction
• Creative performance analysis
• Conduct offline evaluations and simulations, followed by online deployment and A/B testing
• Implement MLOps practices such as:
• Training and inference pipeline
• Drift detection
• Automated rollback mechanism