Manager, Data Scientist - Card Intelligence Model Risk Management

Capital One

McLean, VA, US
Base: $179,400 - $245,600 depending on location; b...
Python, aws, h2o, spark technologies
Machine learning model development lifecycle
Statistical modeling and validation expertise
The role involves partnering with cross-functional teams to deliver products that customers love while leveraging a broad stack of technologies including Python, AWS, and Spark

Job Summary

  • The role involves partnering with cross-functional teams to deliver products that customers love while leveraging a broad stack of technologies including Python, AWS, and Spark.
  • Candidates will build machine learning models through all phases of development, from design and training to evaluation, validation, and implementation.
  • Capital One offers a comprehensive set of health, financial, and other benefits supporting total well-being, along with performance-based incentive compensation.

Matching Summary

The role involves partnering with cross-functional teams to deliver products that customers love while leveraging a broad stack of technologies including Python, AWS, and Spark.

Salary

Base: $179,400 - $245,600 depending on location; Bonus/Equity: Performance based incentive compensation available; Benefits: Comprehensive health, financial, and inclusive benefits

Skills & Requirements

Must-have

  • Python, AWS, H2O, Spark technologies
  • Machine learning model development lifecycle
  • Statistical modeling and validation expertise

Nice-to-have

  • Customer-first decision making mindset
  • Innovative research on emerging technologies
  • Leadership in talent development

Key Requirements

  • Bachelor's degree plus 6 years experience OR Master's plus 4 years OR PhD plus 1 year
  • At least 1 year experience with open source programming languages
  • At least 1 year experience working with machine learning
  • At least 1 year experience utilizing relational databases

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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