Principal Data Scientist

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

Principal Data Scientist - Modeling and Analysis

**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, 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 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, 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. Strive to build a culture where diverse perspectives are valued, innovative ideas are encouraged and to help challenge the status quo and create the best outcomes for everyone.

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 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.

**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 - PyCon, PyData, AWS re:Invent, KDD, etc.
- 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 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 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 lear