Head of Machine Learning and Data Science (Toronto)
Head of Machine Learning and Data Science (Toronto)
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Toronto, Canada
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Posted: yesterday
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Description
About Capital One Canada For over 30 years, we've been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people — in our customers, in our associates, and in talent like you! 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 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 Senior Data Science Manager at Capital One, you’ll be leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions of customer transactions to unlock the big opportunities that help everyday people save money, time, and agony in their financial lives. Responsibilities Oversee the development of software to operationalize, clean, and investigate large, messy data sets of structured and unstructured data. Network with various teams to explore internal and external data sources and APIs to help uncover new trends and improve analysis. Design and contribute to highly scalable data pipelines, machine learning models, tools, and products to enable the analyst community to fully leverage the power of AWS. Manage and develop talent to drive a highly performant and engaged team. Work with various teams to analyze large swaths of data to optimize different business programs. Investigate the impact of new technologies on the future of digital banking and the financial world of tomorrow. The Ideal Candidate Curious: Ask why, explore, and aren't afraid to suggest disruptive ideas. Keep up with the latest tech and continuously explore new open-source tools. Crafty: Know how to get things done, navigate a large organization, motivate people, and influence peers. Creative: Handle big, undefined problems and petabytes of data without fear. Work with abstract data and discover new narratives in unmined territories. Inspiring: Passionate about developing people, proud of your management system, and deliver through others while paving the way for their growth. Proactive: Share knowledge with peers and contribute back to internal or open-source projects you consume. Basic Qualifications At least 7 years of experience in open-source programming languages for large-scale data analysis (Python, Scala, or Java). At least 7 years of experience with version control systems like Git and GitHub. At least 7 years of experience with relational databases and programming in SQL. At least 4 years in lead positions (managing people, owning products, architecting, and driving an agenda). At least 2 years of experience with machine learning workflows. Preferred Qualifications Bachelor’s Degree, Master’s Degree, or PhD in a quantitative field. Experience working with AWS (EC2, S3, Lambda, RDS, etc.). Experience with advanced Git workflows (Pull Requests, Code Reviews, Issues, and Branching). Experience with CI/CD tools. 2+ years of experience with machine learning workflows. 7+ years of experience in Python. 7+ years’ experience with SQL. 4+ years in lead positions (managing people, owning products, architecting, and driving an agenda). Experience at Capital One. Compensation and Benefits The expected annual salary range for this position is $184,800 to $210,000. The role is eligible for performance-based incentive compensation, which may include cash bonuses. Hybrid work is offered with 3 days in the office. Work from home allowances and benefits include mental health coverage up to $3,000, tuition subsidies up to $5,000 per year, full coverage for spouses, domestic partners, and dependents, and other comprehensive perks. Equal Opportunity 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. Apply on Kit Job: kitjob.ca/job/2ps4vf
Highlights
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Company nameCapital One
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Job positionHead of Machine Learning and Data Science (Toronto)
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