Capital One Bank Careers – Senior Data Scientist

Job Description:

As a Senior Data Scientist on our team, you’ll be curious enough to ask questions and brave enough to blurt out a cool idea. You approach problems with creativity, and you love exploring new ways of doing things. But most importantly, you enjoy collaborating, and you’re always willing to share your knowledge with your peers — because you know that’s how the best ideas are made.

Job Responsibilities:

• Streamlining the deployment and maintenance of machine learning models by facilitating efficient model updates and creating robust operational monitoring
• Developing highly scalable data pipelines, tools, and products to enable the analyst community to fully leverage the power of AWS
• Integrating with internal and external data sources and APIs to help uncover new trends and improve analysis
• Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow
• Writing software to clean and investigate large, messy data sets of numerical and textual data

Job Requirements:

• Experience working with AWS (EC2, S3, Lambda, RDS, etc.)
• Master’s Degree or PhD
• Understanding of machine learning or predictive models (scikit-learn, H2O, xgboost, or TensorFlow) workflows
• At least 1 year of experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc…)
• At least 1 year of experience in open source programming languages for large scale data analysis (Python, Scala, or Java)
• At least 1 year of experience with relational databases and programming in SQL
• Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)
• Bachelor’s Degree in a quantitative field
• At least 1 year of experience with version control system like Git and GitHub.

Job Details:

Company: Capital One

Vacancy Type: Full Time

Job Location: Toronto, ON, CA

Application Deadline: N/A

Apply Here