Principal Associate Data Scientist, Machine Learning
Toronto, Canada.
Overview
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 of customer transactions to build cutting‑edge models and unlock big opportunities that help everyday people save money, time, and improve their financial lives.
Responsibilities
- Write software to extract, clean, and investigate large, messy data sets of numerical and textual data.
- Build, deploy, and maintain machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production.
- Develop and optimise model development pipelines that enable rapid experimentation and optimisation.
- Design and analyse experiments to optimise business strategies.
- Investigate the impact of new technologies, data sources, and methodologies to remain on the cutting edge of data science.
Ideal Candidate
- Curious: asks why, explores, and shares disruptive ideas.
- Python proficient, constantly exploring new open‑source tools.
- Wrangler: extracts data from various databases and APIs, transforms it, and leverages it to improve model accuracy.
- Creative: comfortable solving big, undefined problems with petabytes of data.
- Proactive: shares knowledge with peers and contributes to open‑source projects.
- Expert: deep expertise in model development, deployment, or inference.
- Emerging Leader: comfortable running point on large, complex projects and communicating recommendations to both technical and non‑technical audiences.
Basic Qualifications
- At least 3 years of experience in open‑source programming languages for modelling (Python or R).
- At least 3 years of experience with version control systems like GitHub.
- At least 3 years of experience with machine learning or predictive modelling (H2O, XGBoost, TensorFlow, etc.).
- At least 3 years of experience with SQL.
Preferred Qualifications
- 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, Branching).
- Experience writing unit tests and integrating with CI/CD tools (Jenkins, CircleCI, etc.).
- Experience with experimental design and AI agent power user.
- At least 5 years’ experience in Python or R.
- At least 5 years’ experience in machine learning / predictive modelling (H2O, XGBoost, TensorFlow, etc.).
- At least 5 years’ experience with SQL.
- Experience with financial data.
Benefits
- Hybrid work environment, 3 days in the office.
- One‑time Work From Home allowance.
- Full coverage for spouses, domestic partners, and dependents.
- Up to $3,000 in mental health coverage and up to $5,000 in tuition subsidies per year.
EEO Statement
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.
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