Senior Data Science Leader — Growth & Resiliency

Capital One National Association

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

7 days ago
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Job summary

Capital One in McLean, VA is seeking a Senior Manager of Data Science for US Card Resiliency Intelligence. You will lead and collaborate with data scientists, engineers, and product managers to deliver scalable data-driven solutions that improve customer financial resiliency.

You will build and deploy machine learning models across the lifecycle using open-source tools and cloud platforms, translating complex analyses into business outcomes while mentoring a growing team of data science

Qualifications

  • 2+ years using open source languages for large-scale data analysis
  • 2+ years of experience with machine learning
  • 2+ years of experience using relational databases

Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights from huge data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Translate the complexity of your work into tangible business goals

Skills

Python
AWS
Spark
H2O

Education

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

Tools

XGBoost
scikit-learn
statsmodels

Job description

Capital One in McLean, VA is seeking a Senior Manager of Data Science for US Card Resiliency Intelligence. You will lead and collaborate with data scientists, engineers, and product managers to deliver scalable data-driven solutions that improve customer financial resiliency.

You will build and deploy machine learning models across the lifecycle using open-source tools and cloud platforms, translating complex analyses into business outcomes while mentoring a growing team of data science

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