Senior Manager, Data Science
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. 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. For 30 years, we’ve been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated. We’re driven by what’s possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians. Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking. We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you’ll take full accountability for your path, upskilling through hands-on experience and mentorship, to turn your curiosity into a career built on your own terms. Are you ready to redefine what’s next?
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 systems 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
- 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
- up to $5,000 in annual tuition subsidies
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
