🛠 Tech Stack

💼 About This Role

You'll build recommendation systems for loan servicing and collections, owning projects end-to-end. Your core impact is driving consumer engagement and improving debt collection campaign metrics. This role stands out for its rapid experimentation culture and fail-fast mentality.

🎯 What You'll Do

• Rapidly prototype and test ideas using SQL on large datasets.
• Build and iterate on machine learning models with PySpark and ML-Flow.
• Analyze patterns and convert them into model weights for recommendation systems.
• Continuously optimize experimentation processes for speed and insight.

📋 Requirements

• 2+ years hands-on experience in data analysis, modeling, and AI solutions.
• Proficiency in Python and SQL for prototyping and iteration.
• Expertise in machine learning algorithms and experimentation cycles.
• Experience deploying AI solutions in cloud environments.