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About the Role

As a Machine Learning 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.

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.

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
• 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

Skills

• Python
• R
• GitHub
• H2O
• XGBoost
• TensorFlow
• SQL
• AWS
• EC2
• S3
• Lambda
• RDS
• Git
• Jenkins
• CircleCI
• CICD

Location

• Toronto, Ontario, Canada

Work Type

• Hybrid
• 3 days in the office

Experience Level

• Principal Associate
• At least 3 years
• At least 5 years

Education Level

• Bachelor's Degree in a quantitative field
• Master's Degree
• PhD

Salary/Compensations

• $134,400 to $153,300
• Eligible to earn performance based incentive compensation

Benefits

• Full coverage for spouses, domestic partners, and dependents
• $3000 in mental health coverage
• $5000 in tuition subsidies per year
• Work From Home allowance

About the Company

• 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!
• 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.
• Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment.
• Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Equal Opportunity

• Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment.
• We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.
• If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.