Principal Associate Data Scientist

Capital One • Toronto, ON

44d • Hybrid

About The Position

About Capital One Canada. For 30 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you! About the Team At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making. About the Role As a modeling Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to build cutting edge models and unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

Requirements

• At least 3 years of experience in open source programming languages for modeling (Python or R)
• At least 3 years of experience with version control system like GitHub
• At least 3 years of experience with machine learning or predictive modeling (H2O, XGBoost, TensorFlow, etc...)
• At least 3 years of experience with SQL

Nice To Haves

• Bachelor’s Degree in a quantitative field or Master’s Degree or PhD
• Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
• Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)
• Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.)
• Experience with experimental design
• AI agent power user
• At least 5 years’ experience in Python or R
• At least 5 years’ experience with machine learning / predictive modeling (H2O, XGBoost, TensorFlow, etc.)
• At least 5 years’ experience with SQL
• Experience with financial data

Responsibilities

• Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data
• Building, deploying, and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production
• Developing and optimization model development pipelines that enable rapid experimentation and optimization
• Designing and analyzing experiments to optimize business strategies
• Investigating the impact of new technologies, data sources, and methodologies in order to remain on the cutting edge of data science

Benefits

• Enjoy a hybrid work environment, with 3 days in the office.
• Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.
• Live well—physically, financially and emotionally.
• Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents.
• With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year—and much more—you’ll discover that Capital One is committed to helping you live your best life.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees