161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,
Manager, Data Science
About the Role
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.
Your Responsibilities:
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
Basic Qualifications:
At least 5 years of experience developing statistical or quantitative models
Experience with Machine Learning workflows
5+ years experience in model development
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
Preferred Qualifications:
Bachelor’s Degree/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
Working at Capital One
You’ll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.
Take ownership of your own potential: Whether you’re looking to upskill, pivot into new business areas, or master your craft, you’ll have access to tools and mentorship to reach your potential and define your career trajectory.
Find your rhythm:We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model – with 3 days in the office per week – that gives room for both collaboration and personal commitments.
Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.
You’ll find that Capital One is committed to helping you thrive and evolve every step of the way.
This posting is for an existing vacancy.
The expected annual salary range for this position is $173,000 to $197,400. This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.
We embrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.
