
Prinicipal Data Scientist, Retail Cards - Data Science
The Retail Cards Data Science team builds and monitors the models that are critical to the underwriting and growth of the credit card products offered to our retail partners. We also help our business leaders make better decisions by conducting rigorous statistical analyses of various business strategies. Apply your data science skills and work alongside a cross-functional team of data scientists, data engineers and business analysts to drive business outcomes. Build models to test various hypotheses and answer critical research questions. You’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with relational databases
5+ years of experience in data analytics
At least 2 years of experience working with and analyzing large datasets
Sql
Python
AWS
Effective Time Management
Dask
Building and analyzing models
Large scale data analysis
Process Improvement
Communication Skills
Adaptability
Problem-Solving
Attention to detail and accuracy
Multi-tasking
Team Player Attitude
Driven for excellence
According to JobzMall, the average salary range for a Prinicipal Data Scientist, Retail Cards - Data Science in 77 W Wacker Dr, Chicago, IL 60601, USA is $83,000 to $166,000 per year. This range includes base salary, bonus, and other forms of compensation, such as stock options and benefits.
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Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia. Capital One is ranked 11th on the list of largest banks in the United States by assets.

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