Senior Manager, Data Science

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,

Senior Manager, Data Science

About Capital One Canada

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?

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 banking and the financial world of tomorrow

The Ideal Candidate will be:

• Curious: You ask why, you explore, you’re not afraid to blurt out your disruptive idea. You know how the latest tech works, yet you are constantly exploring new open source tools, and hitting up stack overflow on a regular basis.

• Crafty: You know how to get things done. You can navigate a large organization, motivate people, and influence your peers.

• Creative: Big, undefined problems and petabytes of data don’t frighten you. You’re used to working with abstract data, and you love discovering new narratives in unmined territories.

• Inspiring: You have a passion for developing people and take great pride in your management system. You know how to deliver through others while paving the way for their growth.

• Proactive: You will want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.

Basic Qualifications:

• 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

Preferred Qualifications:

• 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)

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 $202,400 to $231,000. 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.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to [email protected]

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).