Data Science Manager

Job Responsibility: 161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Data Science Manager

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

• Using industry-leading machine learning techniques to build and optimize credit models and underwriting infrastructure

• 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 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.

Benefits

• 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.

Basic Qualifications:

• Bachelor's Degree in a quantitative field

• At least 5 years of experience developing statistical or quantitative models

• At least 5 years of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)

• At least 5 years of experience with version control system like Git and GitHub.

• At least 5 years of experience with relational databases and programming in SQL

• At least 2 years in lead positions (managing people/owning products/architecting and driving an agenda)

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 with CICD tools

• Experience with Machine Learning workflows

• 5+ years experience in model development

• 5+ years experience in Python

• 5+ years' experience with SQL

• 3+ years in lead positions (managing people/owning products/architecting and driving an agenda)

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 View phone number on ca.edajobs.com or via email at . 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

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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).