Data Scientist

Company Name: Capital One
Location: Toronto, CA
Date Posted: 19th Jan, 2018
Description:
  • Writing code to clean and investigate large, messy data sets of numerical and textual data
  • Integrating with internal and external data sources and APIs to discover interesting trends
  • Building machine learning models (Linear and Logistic regression, Gradient Boosting, Random Forest, etc.) from development, validation, through to deployment in production
  • Designing rich data visualizations to communicate complex ideas to customers or company leaders
  • Investigating the impact of new technologies on the future of digital banking and the financial world of tomorrow.

     

Qualification:

 

Basic Qualifications

  • Bachelor’s Degree in a quantitative field
  • At least 1 year of experience in open source programming languages for large scale data analysis (Python, R, or Scala)
  • At least 1 year of experience with version control system like Git
  • At least 1 year of experience with machine learning or predictive modeling (scikit-learn, H2O, xgboost, or TensorFlow)
  • At least 1 year of experience with relational databases (Postgres, Redshift, MySQL) and using 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.)
  • At least 3 years’ experience in Python or R
  • At least 3 years’ experience with machine learning / predictive modeling (scikit-learn, H2O, xgboost, TensorFlow, etc.)
  • At least 3 years’ experience with SQL