Data Science ManagerApply now Job ID R80160 Updated date 07/17/2019 Location Toronto, Ontario
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
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 200 company and a leader in the world of data-driven decision-making.
As a Data Science Manager at Capital One, you’ll manage 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:
Overseeing the development of software to clean and investigate large, messy data sets of numerical and textual data
Networking with various teams to explore internal and external data sources and APIs to help uncover new trends and improve analysis
Designing and contributing to highly scalable data pipelines, tools, and products to enable the analyst community to fully leverage the power of AWS
Working with your team to analyze large swaths of data in order to optimize various business programs
Managing and developing talent to drive a highly performant and engaged team
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, you’re not afraid to blurt out your disruptive idea. You know how the latest tech works, yet you are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.
Crafty: You know how to how to get things done. You can navigate a large organization, motivate people, and influence your peers.
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.
Inspiring: You have a passion for developing people and take great pride in your management system. You know how to deliver through others while paving the way for their growth.
Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.
Your choice of hardware - latest MacBook Pro or HP EliteBook and all the monitors you want!
You can travel to a relevant 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
Flexible work hours, dress code and environment
Twenty-five 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.
Bachelor’s Degree in a quantitative field
At least 5 year of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)
At least 5 year of experience with version control system like Git and GitHub.
At least 5 year of experience with relational databases and programming in SQL
At least 2 years managing people and driving an agenda
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 with CICD tools
5+ years experience in Python
5+ years’ experience with SQL
3+ years managing people and driving an agenda
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 RecruitingAccommodation@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.com
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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).