Senior Associate, Data Scientist - Business Cards & Payments Credit Infrastructure Team

Capital One

Mclean, VA, United States
Base: $135,600 - $154,800; bonus/equity: eligible ...
Python, conda, aws, h2o, spark
Build machine learning models
Analyze numeric and textual data
As a Data Scientist at Capital One, 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

Job Summary

  • As a Data Scientist at Capital One, 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.
  • The Business Cards and Payments (BC&P) Credit Infrastructure Team owns the end-to-end development of valuations models, monitoring, advanced analytics and systemized tooling for the Business Cards and Payments (BCP) organization.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

As a Data Scientist at Capital One, 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.

Salary

Base: $135,600 - $154,800; Bonus/Equity: eligible to earn performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python, Conda, AWS, H2O, Spark
  • Build machine learning models
  • Analyze numeric and textual data
  • Credit card acquisitions valuations

Nice-to-have

  • Customer first mindset
  • Creative problem solving
  • Interpersonal skills
  • Translate complexity to business goals

Key Requirements

  • Bachelor's Degree in quantitative field + 2 years analytics experience
  • Master's Degree in quantitative field or MBA
  • Master's Degree in STEM field or PhD in STEM field
  • 1 year experience with AWS
  • 2 years experience in Python, Scala, or R
  • 2 years experience with machine learning
  • 2 years experience with SQL

Work Rights

Not specified

Sponsorship: available

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