Principal Associate Data Scientist, Machine Learning

About Capital One Canada.

For 30 years weve 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.

Were driven by whats 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 youll 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 whats 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 100 company and a leader in the world of data-driven decision-making.

About the Role

As a Machine Learning Data Scientist at Capital One youll be part of a team thats 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 build cutting edge models and unlock the big opportunities that help everyday people save money time and agony in their financial lives.

Your Responsibilities:

On any given day you could be:

• Writing software to extract clean and investigate large messy data sets of numerical and textual data

• Building deploying and maintaining machine learning models (Gradient Boosting Machines Neural Networks etc.) from development validation through to deployment in production

• Developing and optimization model development pipelines that enable rapid experimentation and optimization

• Designing and analyzing experiments to optimize business strategies

• Investigating the impact of new technologies data sources and methodologies in order to remain on the cutting edge of data science.

The Ideal Candidate will be:

• Curious: You ask why you explore youre not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools and hitting up AI agents on a regular basis.

• A Wrangler: You know how to programmatically extract data from various databases and APIs bring it through a transformation or two and leverage it to improve your models accuracy.

• Creative: Big undefined problems and petabytes of data dont frighten you. Youre used to working with abstract data and you love discovering new narratives in unmined territories.

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

• An Expert: You have superpowers you cant wait to share. You have expertise in key aspects of model development model deployment or inference such that you are the go-to person in those areas.

• An Emerging Leader: You feel comfortable running point on big complex projects. You know how to motivate others and bring them along your journey. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences.

Basic Qualifications:

• At least 3 years of experience in open source programming languages for modeling (Python or R)

• At least 3 years of experience with version control system like GitHub

• At least 3 years of experience with machine learning or predictive modeling (H2O XGBoost TensorFlow etc...)

• At least 3 years of experience with SQL

Preferred Qualifications:

• Bachelors Degree in a quantitative field or Masters Degree or PhD

• Experience working with AWS (EC2 S3 Lambda RDS etc.)

• Experience working with advanced Git Workflows (Pull Requests Code Reviews Issues and Branching)

• Experience writing unit tests and integrating with CICD tools (Jenkins CircleCI etc.)

• Experience with experimental design

• AI agent power user

• At least 5 years experience in Python or R

• At least 5 years experience with machine learning / predictive modeling (H2O XGBoost TensorFlow etc.)

• At least 5 years experience with SQL

• Experience with financial data

Working at Capital One.

Youll 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 youre looking to upskill pivot into new business areas or master your craft youll 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 $3000 in mental health coverage and up to $5000 in annual tuition subsidies.

Youll find that Capital One is committed to helping you thrive and evolve every step of the way.

his posting is for an existing vacancy.

The expected annual salary range for this position is $148120 to $169050 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.

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- or via email at . 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 Ones recruiting process please send an email to

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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).