Job Title

161 Bay Street (93021), Canada, Toronto, Ontario Principal Data Scientist - Modeling and Analysis 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, youll be part of a team thats 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. Working with us Associates working in the hybrid model are expected to come into the downtown Toronto office 3 days a week across Tuesdays to Thursdays. As was true before the pandemic, expectations of being in the office will be balanced with personal life flexibility. At Capital One, were committed to diversity, inclusion and belonging . We strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and inclusive behaviours are embedded in everything we do to positively impact associates. Were focused on helping associates live wellphysically, financially and emotionally. When you join us, we support you and those who are most important to you, offering full coverage for spouses, domestic partners, and dependents. Weve designed our benefits program to be flexible, comprehensive and consistent across our organization. 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 The Ideal Candidate will be: Curious: You ask why, you explore, youre not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools. 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. Creative: Big, undefined problems and petabytes of data dont frighten you. Youre 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. An Expert: You have superpowers you cant wait to share. You have expertise in key aspects of model development, model deployment, or inference. An Emerging Leader: You feel comfortable running point on big, complex projects and can paint a compelling picture of your recommendations. Benefits Your choice of hardware - latest MacBook Pro or HP EliteBook and all the monitors you want! With Manager approval, you can travel to a conference of your choice annually. Various internal training opportunities across our US and Canada locations $5000/yr education budget Hybrid work environment with flexible work hours, dress code, and environment Thirty years after Capital One was started its still led by its founder. Be ready to join a community of the smartest people youve ever met, who see the customer first, and want to use their data skills to make a difference. Basic Qualifications: Bachelors 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: Masters Degree or PhD Experience working with AWS (EC2, S3, Lambda, RDS, etc.) Experience working with advanced Git Workflows Experience writing unit tests and integrating with CICD tools Experience with experimental design At least 5 years experience in Python or R At least 5 years experience with machine learning / predictive modeling At least 5 years experience in SQL We may use your information for automated decision making. 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 . For technical support or questions about Capital One's recruiting process, please send an email to . #J-18808-Ljbffr