Data Scientist, Co Op (Winter 2025)
at Capital One
Toronto, ON, Canada -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 15 Nov, 2024 | Not Specified | 16 Aug, 2024 | 20 year(s) or above | Spss,Python,Stata,Credit,R,Computer Science,Matlab,Access,Technology Solutions,Statistics,Communication Skills,Git,Sas,Credit Cards,Data Mining,Sql,Mathematics,Aws | No | No |
Required Visa Status:
| Citizen | GC |
| US Citizen | Student Visa |
| H1B | CPT |
| OPT | H4 Spouse of H1B |
| GC Green Card |
Employment Type:
| Full Time | Part Time |
| Permanent | Independent - 1099 |
| Contract – W2 | C2H Independent |
| C2H W2 | Contract – Corp 2 Corp |
| Contract to Hire – Corp 2 Corp |
Description:
DATA SCIENTIST CO-OP
Our Capital One Data Science Team.
Yes, we’re a credit card company. But we’re more than that too. We’re driven by what our customers want, and how to make their lives simpler.
We’re always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we’ll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.
BASIC QUALIFICATIONS:
- Will obtain or have obtained a Bachelor’s degree or higher between January 2025 and June 2026
PREFERRED QUALIFICATIONS(DON’T HAVE THEM ALL? DON’T WORRY. WE’LL HELP YOU DEVELOP THE RIGHT SKILLS FOR THE JOB):
- Pursuing a degree in Mathematics, Statistics, Computer Science, Engineering or another quantitative discipline
- Experience analyzing and manipulating large data sets using tools such as SQL or Python
- Experience with statistical analysis and data mining using tools such as Python, R, SAS, Matlab, Stata, or SPSS
- Experience building and maintaining data pipelines
- Experience in a Linux/Unix environment, with Git, AWS, or APIs
- Excellent verbal and written communication skills
- Previous coop experience
About Capital One Canada
We’ve been helping millions of Canadians for over 20 years by providing them with access to credit when others wouldn’t. We’re on a journey to put our customers first, and keep them there, by building modern technology solutions to simplify and humanize the world of credit cards. We have the positive energy of a startup, with the advantages of a big company.
Responsibilities:
- Using Python and PySpark to analyze millions of transactions to understand and predict fraud patterns
- Exploring new proprietary data sources and creating predictive models or customer behavior
- Applying machine learning techniques to build financial risk models
- Create and test algorithms to optimize search engine marketing
- Design and develop data pipelines and visualizations to monitor model performance and data qualit
REQUIREMENT SUMMARY
Min:20.0Max:25.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Toronto, ON, Canada
