Senior Data Science Manager - ML & Risk Leadership

Capital One

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

3 days ago
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Job summary

Capital One is seeking a Sr Mgr, Data Science to lead model risk and data science initiatives in its McLean, VA team. The role focuses on building and validating models, governance, and applying ML to underwriting for flagship credit card products.

You will collaborate with data scientists, software engineers, and product managers to deliver impactful data-driven decisions across billions of records. Ideal candidates are technically strong, innovation-driven, and have hands-on experience with

Qualifications

  • Bachelor or higher in a quantitative field with several years of data analytics experience.
  • Experience building and validating ML models, with deployment experience.
  • Proficiency with open-source languages for large-scale data analysis.

Responsibilities

  • Partner with cross-functional teams (data scientists, software engineers, product managers) to deliver a product customers love.
  • Leverage Python, Conda, AWS, H2O, Spark to analyze large numeric/text data and reveal insights.
  • Build ML models from design through training, evaluation, validation, and implementation.
  • Translate complex work to tangible business goals and communicate results clearly.

Skills

Python
R/Scala
SQL
Machine learning
Open source tools
Data analytics

Education

Bachelor's degree in quantitative field
Master's degree in quantitative field or MBA with quantitative concentration
PhD in quantitative field

Tools

AWS
H2O
Spark
Conda

Job description

Capital One is seeking a Sr Mgr, Data Science to lead model risk and data science initiatives in its McLean, VA team. The role focuses on building and validating models, governance, and applying ML to underwriting for flagship credit card products.

You will collaborate with data scientists, software engineers, and product managers to deliver impactful data-driven decisions across billions of records. Ideal candidates are technically strong, innovation-driven, and have hands-on experience with

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