Senior Machine Learning Scientist

This role focuses on developing ML models for CRM, including personalized communications and recommendation systems, utilizing causal inference and A/B testing to optimize customer engagement.

• Build and optimize recommendation models
• Apply deep learning and causal inference
• Design and analyze A/B experiments
• Collaborate on model deployment
• Enhance customer engagement strategies

The environment involves ML frameworks like Python, with a focus on scalable recommendation models, causal inference, and deployment for customer engagement.

The ideal candidate is a senior machine learning scientist experienced in developing personalized recommendation models and applying causal inference techniques to customer data. They are skilled in deploying scalable ML solutions to enhance customer engagement and retention.