Principal Associate Data Scientist, Machine Learning
Capital One•Toronto, ON
•CA$134,400 - CA$153,300•Hybrid
About The Position
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.
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
- Hybrid work environment, with 3 days in the office
- One-time, Work From Home allowance
- Head office located conveniently across the street from Union Station
- Full coverage for spouses, domestic partners, and dependents
- Up to $3000 in mental health coverage
- Up to $5000 in tuition subsidies per year
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Associate degree
