Principal Data Scientist

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,

Principal Data Scientist - Modeling and Analysis

**About Capital One Canada**

For over 20 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 Role**

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.

As a 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 unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.

**On any given day, you could be**:

- Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data
- Building and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production
- Designing rich data visualizations to communicate complex ideas to customers or company leaders
- Designing and analyzing experiments to optimize business strategies
- Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
- Curious: You ask why, you explore, you’re not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
- A Wrangler: You know how to programmatically extract data from various databases and APIs, bring it through a transformation or two, and model it into human-readable insights (Matplotlib, Seaborn, Tableau, etc.).
- Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.
- Proactive: You want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.
- An Expert: You have superpowers you can’t wait to share. You have expertise in key aspects of model development, model deployment, or inference such that you are the go-to person in those areas.
- An Emerging Leader: You feel comfortable running point on big, complex projects. You know how to motivate others and bring them along your journey. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences

**Basic Qualifications**:

- Bachelor’s Degree in a quantitative field
- At least 3 years of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
- At least 3 years of experience with version control system like GitHub
- At least 3 years of experience with machine learning or predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc...)
- At least 3 years of experience with relational databases and programming in SQL

**Preferred Qualifications**:

- 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
- At least 5 years’ experience in Python or R
- At least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
- At least 5 years’ experience in SQL

**Working at Capital One**

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.

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.

Capital One does not provide, endorse nor g