Principal Data Scientist - Modeling and Analysis

at  Capital One

BASIC QUALIFICATIONS:

• Bachelor’s Degree in a quantitative field
• At least 3 years of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
• At least 3 years of experience with version control system like GitHub
• At least 3 years of experience with machine learning or predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc…)
• At least 3 years of experience with relational databases and programming in SQL

PREFERRED QUALIFICATIONS:

• 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
• At least 5 years’ experience in Python or R
• At least 5 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, XGBoost, TensorFlow, etc.)
• At least 5 years’ experience in SQL
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  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.
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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)

Please refer the Job description for details