At a Glance
- Tasks: Lead innovative data science projects using AI and machine learning to transform banking.
- Company: Join Capital One, a leader in data-driven decision-making and innovation.
- Benefits: Enjoy competitive pay, flexible work options, and comprehensive health benefits.
- Other info: Dynamic team culture with opportunities for mentorship and personal growth.
- Why this job: Make a real impact on millions of Canadians while advancing your career.
- Qualifications: Strong background in data analytics and experience with AI/ML models required.
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.
About the Team
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and 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.
We're building a portfolio of agentic AI products to transform Capital One's engineering organizations and lines of business – autonomous coding agents, context engineering, and agentic model-development lifecycle to name a few. We're creating a new science team to help define the long-term strategy, analyze & optimize impact throughout the ecosystem, and drive business value at enterprise scale. As a scientist on the team, you'd design AI/ML models and help build the solutions behind these products. You'd also own the science that guides them: designing experiments (A/B tests), modeling telemetry, and turning the results into AI strategy and guidance for C-suite leadership.
About the Role
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in AI and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
In this role, you will:
- Partner with a cross-functional team of data scientists, AI & ML engineers, and product managers to deliver enterprise products customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The ideal candidate is:
- Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing.
- Innovative. You continually research and evaluate emerging technologies.
- Creative. You thrive on bringing definition to big, undefined problems.
- A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
- Technical. You’re comfortable with open-source languages and are passionate about developing further.
- Statistically-minded. You’ve built models, validated them, and backtested them.
- A data guru. “Big data” doesn’t faze you.
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field plus 9 years of experience performing data analytics
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
- A PhD in a quantitative field plus 4 years of experience performing data analytics
Preferred Qualifications:
- PhD in “STEM” field plus 5 years of experience in data analytics
- 3+ years of experience working with AWS
- 5+ years of experience in Python, Scala, or R for large scale data analysis
- 5+ years of experience with machine learning
- 5+ years of experience with Spark
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.
- 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.
Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment.
Director, Data Science in Toronto employer: Capital One Group
At Capital One Canada, we pride ourselves on being a forward-thinking employer that empowers our employees to take ownership of their careers while fostering a culture of innovation and collaboration. Located in the vibrant city of Toronto, our hybrid work model allows for flexibility and balance, complemented by a comprehensive benefits package that supports your well-being and professional growth. Join us to make a meaningful impact in the travel tech space, where your contributions will shape the future of banking and travel for millions of Canadians.
