Website Capital One
Job Description:
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.
Job Responsibilities:
- Networking with various teams to explore internal and external data sources and APIs to help uncover new trends and improve analysis
- Managing and developing talent to drive a highly performant and engaged team
- Working with your team to analyze large swaths of data in order to optimize various business programs
- Designing and contributing to highly scalable data pipelines, tools, and products to enable the analyst community to fully leverage the power of AWS
- Overseeing the development of software to clean and investigate large, messy data sets of numerical and textual data
- Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
Job Requirements:
- 5+ years experience in Python
- Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)
- At least 2 years in lead positions (managing people/owning products/architecting and driving an agenda)
- Experience with CICD tools
- 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)
- Master’s Degree or PhD
- Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
- 5+ years’ experience with SQL
- Experience with Machine Learning workflows
- At least 5 year of experience with relational databases and programming in SQL
- At least 5 year of experience with version control systems like Git and GitHub.
Job Details:
Company: Capital One
Vacancy Type: Full Time
Job Location: Toronto, ON, CA
Application Deadline: N/A
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