Director, Data Science

Capital One • Toronto, ON

1d • Hybrid

About The Position

Capital One Canada is looking for a Director, Data Science to join their team. For 30 years, Capital One Canada has been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. They aim to help Canadians succeed with credit by believing in people, their customers, their associates, and talent like you. This role involves partnering with a cross-functional team of data practitioners, software engineers, and product managers to manage risk and uncertainty in statistical models, leveraging a broad stack of technologies like Python and AWS, and leading the architecture and development of machine learning models. The role also requires translating complex work into tangible business goals, managing and developing talent, and investigating the impact of new technologies on the future of digital banking.

Requirements

• Bachelor's Degree plus 9 years of experience in data analytics, or Master's Degree plus 7 years of experience in data analytics, or PhD plus 5 years of experience in data analytics
• At least 4 years of experience in open source programming languages for large scale data analysis
• At least 4 years of experience with machine learning
• At least 4 years of experience with relational databases

Nice To Haves

• PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
• At least 5 years’ experience working with or developing data science/machine learning solutions
• At least 1 year of experience working with AWS
• At least 3 years of experience managing people
• At least 5 years of experience in Python, Scala, or R for large scale data analysis

Responsibilities

• Partner with a cross-functional team of data practitioners, software engineers, and product managers to manage the risk and uncertainty inherent in statistical models in order to lead Capital One to the best decisions, not just avoid the worst ones.
• Leverage a broad stack of technologies — Python, AWS, agentic AI, and more — to reveal the insights hidden within huge volumes of numeric and textual data
• Lead the architecture and development of machine learning models through all phases of development, from design through training, evaluation, and implementation
• Flex interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities
• Manage and develop talent to drive a highly performant and engaged team
• Investigate the impact of new technologies on the future of digital banking and the financial world of tomorrow

Benefits

• Hybrid work environment, with 3 days in the office.
• One-time Work From Home allowance.
• Head office located conveniently across the street from Union Station.
• Full coverage for spouses, domestic partners, and dependents.
• Up to $3000 in mental health coverage.
• Up to $5000 in tuition subsidies per year.
• Eligible to earn performance based incentive compensation, which may include cash bonus(es).

What This Job Offers

• Job Type: Full-time
• Career Level: Director