Senior Manager, Data Science

Capital OneToronto, ON
CA$184,800 - CA$210,000Hybrid

About The Position

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.

Requirements

  • At least 7 years of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)
  • At least 7 years of experience with version control system like Git and GitHub.
  • At least 7 years of experience with relational databases and programming in SQL
  • At least 4 years in lead positions (managing people/owning products/architecting and driving an agenda)
  • At least 2 years of experience with machine learning workflows

Nice To Haves

  • Bachelor’s Degree or Master’s Degree or PhD in a quantitative field
  • 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
  • 2+ years experience with machine learning workflows
  • 7+ years experience in Python
  • 7+ years’ experience with SQL
  • 4+ years in lead positions (managing people/owning products/architecting and driving an agenda)

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 banking and the financial world of tomorrow

Benefits

  • Hybrid work environment, with 3 days in the office.
  • One-time Work From Home allowance
  • Head office located conveniently across the street from Union Station.
  • Full coverage for spouses, domestic partners, and dependents.
  • Up to $3000 in mental health coverage
  • Up to $5000 in tuition subsidies per year
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service