Senior Manager, Data Science - Us Card (upmarket Segments)

Capital One

Chicago, IL, US
Chicago: $209,000 - $238,500; mclean: $229,900 - $...
Python, aws, h2o, spark technologies
Machine learning model development lifecycle
Relational database and big data analysis
The role involves partnering with cross-functional teams to deliver products that customers love using cutting-edge computing and machine learning technologies

Job Summary

  • The role involves partnering with cross-functional teams to deliver products that customers love using cutting-edge computing and machine learning technologies.
  • Candidates must leverage a broad stack of technologies including Python, Conda, AWS, H2O, and Spark to reveal insights within huge volumes of numeric and textual data.
  • This position offers eligibility for performance-based incentive compensation including cash bonuses and long-term incentives alongside comprehensive health and financial benefits.

Matching Summary

The role involves partnering with cross-functional teams to deliver products that customers love using cutting-edge computing and machine learning technologies.

Salary

Chicago: $209,000 - $238,500; McLean: $229,900 - $262,400; New York: $250,800 - $286,200; Richmond: $209,000 - $238,500; Bonus/LTI eligible

Skills & Requirements

Must-have

  • Python, AWS, H2O, Spark technologies
  • Machine learning model development lifecycle
  • Relational database and big data analysis

Nice-to-have

  • Passion for customer-first decision making
  • Experience with emerging statistical methods
  • Leadership in talent development

Key Requirements

  • Bachelor's degree plus 7 years experience OR Master's plus 5 years OR PhD plus 2 years
  • At least 2 years experience with open source programming languages
  • At least 2 years experience working with machine learning
  • At least 2 years experience utilizing relational databases

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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