Sr Data Scientist - Customer Analytics

📋 Description

• Build and apply machine learning models to classify customers into low-, medium-, and high-value
• Develop CLV and customer value models to estimate current and future customer value.
• Analyze customer behavioral and transactional data to identify patterns and opportunities to
• Apply causal modeling, experimentation, and related analytical techniques to understand which
• Contribute to a Next Best Action proof of concept to identify engagement opportunities.
• Develop customer segmentation and behavioral models to identify meaningful groups and their

🎯 Requirements

• 3+ years of hands-on Data Science / Machine Learning experience.
• Strong programming skills in Python.
• Strong SQL skills and experience with large datasets.
• Hands-on experience developing and applying machine learning models to business problems.
• Understanding of predictive modeling, feature engineering, model evaluation, statistical analysis
• Experience with customer segmentation, CLV / customer value modeling, churn/retention modeling

🎁 Benefits

• Opportunity to work on meaningful, real-world data science problems with leading global
• Collaboration with experienced data scientists, engineers, and business stakeholders.
• Environment that values technical depth, business thinking, and ambiguity handling.