Principal Associate Data Scientist, Machine Learning
Toronto, Ontario, Canada · Hybrid
$134k–$153k/yr
Senior$5.5B raised
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Principal Associate Data Scientist, Machine Learning About Capital One Canada. For 30 years, we’ve been on a mission to change banking for good. We challenge the …
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Toronto, Ontario, Canada · Hybrid
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Senior+
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Principal Associate Data Scientist, Machine Learning
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$134k–$153k/yr
Full-time
bachelor degree, postgraduate degree
Mental health coverage, Tuition subsidies, Work from home allowance, Health insurance, Performance based incentive compensation
Posted 7d ago
~40 hrs/week
Responsibilities
The role involves writing software to process large datasets and building, deploying, and maintaining machine learning models in production. You will also design experiments to optimize business strategies and investigate new technologies to remain at the cutting edge of data science.
Requirements
Candidates must have at least 3 to 5 years of experience in Python or R, SQL, and machine learning or predictive modeling. Proficiency with version control systems like GitHub and experience with cloud platforms like AWS are also required.
Full job description
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Principal Associate Data Scientist, Machine Learning
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 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, you’ll be part of 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 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, you’re 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 model’s accuracy.
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.
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 can’t 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:
Bachelor’s Degree in a quantitative field or Master’s 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.
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.
his posting is for an existing vacancy.
The expected annual salary range for this position is $148,120 to $169,050 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 ARCanada@capitalone.com. 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 Careers@capitalone.com
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).
Related keywords
Data ScienceMachine LearningPythonRSQLAWSGitHubXGBoostTensorFlowH2OPredictive ModelingDistributed ComputingCICDJenkinsCircleCIExperimental Design
At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.
Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/
Offices: 1680 Capital One Drive, McLean, Va 22102, US · 8020 Towers Crescent Dr, Vienna, VA 22182, US · 2 Bethesda METRO Center, Bethesda, MD 20814, US
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How many Science & Research jobs are open in Toronto, Canada right now?
There are currently 1,178 open science & research positions in Toronto, Canada listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Science & Research roles in Toronto, Canada?
Companies currently hiring include University Health Network, OISE, Department of Leadership, Higher and Adult Education - University of Toronto, Humber River Health, CAMH, Eurofins Viracor, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Science & Research jobs in Toronto, Canada?
Yes — 385 of the 1178 open science & research positions offer remote or hybrid work (75 remote, 310 hybrid).
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