Principal Data Scientist

161 Bay Street (93021), Canada, Toronto, Toronto, Ontario,Principal Data Scientist - Modeling and AnalysisAt 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.Working with usAssociates 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, we’re 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.We’re focused on helping associates live well—physically, 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. We’ve designed our benefits program to be flexible, comprehensive and consistent across our organization. From health and fitness center discounts to training and professional development programs—and much more—you’ll discover that Capital One is committed to helping you live your best life.On any given day, you could be:Writing software to extract, clean, and investigate large, messy data sets of numerical and textual dataBuilding and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in productionDesigning rich data visualizations to communicate complex ideas to customers or company leadersDesigning and analyzing experiments to optimize business strategiesInvestigating the impact of new technologies on the future of digital banking and the financial world of tomorrowThe Ideal Candidate will be: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.BenefitsYour choice of hardware - latest MacBook Pro or HP EliteBook and all the monitors you wantWith Manager approval, you can travel to a conference of your choice annually - PyCon, PyData, AWS re:Invent, KDD, etc.Various internal training opportunities across our US and Canada locations$5000/yr education budgetHybrid work environment with flexible work hours, dress code, and environmentThirty years after Capital One was started it’s still led by its founder. Be ready to join a community of the smartest people you’ve ever met, who see the customer first, and want to use their data skills to make a difference.Basic Qualifications:Bachelor’s Degree in a quantitative fieldAt 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 GitHubAt 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 SQLPreferred Qualifications:Master’s Degree or PhDExperience 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 designAt least 5 years’ experience in Python or RAt least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)At least 5 years’ experience in SQLWe may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.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.For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.comCapital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.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). #J-18808-Ljbffr