Manager, Data Science

Socket.dev; Toronto; On-site; CAD 173,000 - 197,000; Full time

Benefits offered by this job

Hybrid work model

Tuition subsidies

Mental health coverage

Work From Home allowance

Job summary

Capital One Canada is seeking a Data Science Manager to lead a team driving the next wave of analytics at scale. You will direct data cleaning, feature engineering, and pipeline development across billions of transactions to unlock opportunities that save customers time and money.

You’ll mentor engineers, collaborate with cross‑functional teams, and apply ML techniques to credit models and underwriting at a Fortune 200 data‑driven company. This hybrid role features a strong benefits package.

Qualifications

• 5+ years of experience developing statistical or quantitative models.
• Experience with Machine Learning workflows.
• 5+ years experience in model development.
• 5+ years of experience with open source programming languages for large scale data analysis (Python, Scala, or Java).
• 5+ years of experience with version control system like Git and GitHub.
• 5+ years of experience with relational databases and programming in SQL.

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.

Skills

Statistical modeling

ML workflows

Model development

Python

Scala

Java

Git

SQL

GitHub workflows

CI/CD

Education

Bachelor’s/Master’s/PhD in a quantitative field

Tools

AWS

Job description

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

Weembrace 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 [e-mail]. 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 [e-mail]

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).