Senior Data Scientist (R14015)

📋 Description

• Develop data products and ML models for Risk, Fraud, Collections, and portfolio management.
• Build monitoring tools to track model and rule performance.
• Build a model deployment platform to shorten rollout time.
• Build end-to-end reusable pipelines from data acquisition to model output delivery.
• Lead initiatives to drive business value with planning and stakeholder management.
• Lead discussions with Compliance and partners for governance and monitoring.

🎯 Requirements

• Master’s degree or PhD in quantitative field; bachelor with relevant experience considered.
• ML methods include Gradient Boosting, Logistic Regression, and Neural Networks.
• 3+ years in data extraction, cleaning, analysis and data pipelines; SQL, Spark SQL, Hive.
• 3+ years with ML toolsets and Python.
• Experience with AWS EMR or SageMaker is a plus.
• Experience with HDFS, Hive, and big data tools is a plus.

🎁 Benefits

• Equal Opportunity Employer
• Inclusive, diverse culture with Employee Resource Groups
• Belonging and inclusive workplace