Capital One Canada
Financial Services
SeniorManager,DataScience
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Manager, Data Science at Capital One Canada. Skills: Data Science, Machine Learning, Data Engineering, Talent Management. Oversee development of software. Operationalize data sets”
What You'll Achieve.
Unlock big opportunities
Industry & Context.
Investigate data sets; Uncover new trends; Improve analysis; Analyze data
What They're Looking For.
Must Have
7+ years open source programming, 7+ years Git and GitHub, 7+ years relational databases and SQL, 4+ years lead positions, 2+ years machine learning workflows
Nice to Have
Bachelor's Degree or Master's Degree or PhD, Experience with AWS, Experience with advanced Git Workflows, Experience with CICD tools, 2+ years experience with machine learning workflows, 7+ years experience in Python, 7+ years experience with SQL, 4+ years in lead positions
What You'll Do.
Oversee development of software
Operationalize data sets
Investigate data sets
Design data pipelines
Contribute to data pipelines
Design machine learning models
Contribute to machine learning models
Contribute to products
Enable analyst community
Optimize business programs
Investigate impact of new technologies
How You'll Work.
Team & Collaboration
Various teams; Cross-functional teams
Full Job Description
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Manager, Data Science **About Capital One Canada** For over 30 years, we’ve been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you! **_About the Team_** 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. **_About the Role_** As a Senior Data Science Manager at Capital One, you’ll be 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. **Your Responsibilities:** * Overseeing the development of software to operationalize, clean, and investigate large, messy data sets of structured and unstructured 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, machine learning models, tools, and products to enable the analyst community to fully leverage the power of AWS * Managing and developing talent to drive a highly performant and engaged team * Working with various teams to analyze large swaths of data in order to optimize various business programs * Investigating the impact of new technologies on the future of digital bankin
Applying for this Senior Manager, Data Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One Canada?
Real rants from real employees. Read before you apply.