Senior Data Scientist - Engineering

Company:
Location: Toronto, ON

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

Senior Data Scientist - Engineering

Job Description

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 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 frustration in their financial lives.

On any given day, you could be:

  • Writing software to clean and investigate large, messy data sets of numerical and textual data

  • Integrating with internal and external data sources and APIs to help uncover new trends and improve analysis

  • Developing highly scalable data pipelines, tools, and products to enable the analyst community to fully leverage the power of AWS

  • Streamlining the deployment and maintenance of machine learning models by facilitating efficient model updates and creating robust operational monitoring

  • 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 probably know Python, Scala, or Java 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 a database and an API, bring it through a transformation or two, and convert into a human-readable form (Matplotlib, d3 visualization, Tableau, etc.).

  • A Stickler for good software: You have a reverence for DevOps and don’t consider any piece of code complete without a thorough testing suite.

  • 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 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!

  • With Manager approval, you can travel to a conference of your choice annually (senior+) - 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 1 year of experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc...)

  • At least 1 year of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)

  • At least 1 year of experience with version control system like Git and GitHub.

  • At least 1 year of experience with relational databases and programming in SQL

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)

  • Understanding of machine learning or predictive models (scikit-learn, H2O, xgboost, or TensorFlow) workflows

  • At least 3 years’ experience in Python

  • At least 3 years’ experience with SQL

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 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

Capital 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).

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