Principal Associate, Data Scientist

• Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights hidden within large volumes of numeric and textual data
• Build machine learning models from design through training, evaluation, validation, and implementation, monitoring and supporting continuous model deployment and maintenance
• Collaborate on the design and maintenance of production data science solutions, including writing clear technical documentation and ensuring models adhere to software development best practices
• Manage model risk and maintain regulatory compliance across the model lifecycle

• Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or higher
• 5 years of experience performing data analytics (or 3 years with Master's degree or 3 years with PhD)
• At least 1 year of experience working with AWS
• At least 3 years' experience in Python, Scala, or R
• At least 3 years' experience with machine learning
• At least 3 years' experience with SQL
• Experience with big data and distributed computing, using Spark or another comparable framework
• Experience with model risk governance
• Experience technically leading and developing a team
• Experience with both traditional machine learning and emerging GenAI techniques, focusing primarily on traditional ML model development

Demonstrates expertise in building and deploying machine learning models, leveraging technologies such as Python and AWS, while ensuring compliance and managing model risk. Collaborates effectively with cross-functional teams to deliver data-driven insights and maintain production data science solutions.

• Machine Learning Model Development
• Python Programming
• AWS Experience
• Data Analytics
• Model Risk Governance

• Machine Learning
• Data Analytics
• Python
• SQL
• Spark
• Scala
• R
• Model Risk Management
• GenAI Techniques
• Technical Documentation

• Collaboration
• Team Leadership
• Communication

• Quantitative Field
• Regulatory Compliance
• Big Data
• Distributed Computing

• AWS
• H2O
• Conda
• Spark