Data Science Manager, Card Analytics & ML

Hobbsnews

McLean (VA)

Hybrid

USD 197,000 - 225,000

Full time

6 days ago
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Job summary

Capital One seeks a Manager, Data Scientist for US Card Upmarket Acquisitions to lead data science for underwriting and acquisitions. You will partner with data engineers, product managers, and analysts to deliver data-driven solutions using Python, AWS, Spark, and other tools.

The role emphasizes end-to-end model development, deployment, monitoring, and governance while driving business impact and innovation across billions of records.

Qualifications

  • Bachelor’s Degree in a quantitative field plus 6 years of analytics experience.
  • Master’s Degree in a quantitative field or MBA with a quantitative concentration plus 4 years analytics experience.
  • PhD in a quantitative field plus 1 year analytics experience.
  • At least 1 year of experience leveraging open source programming languages for large scale data analysis.
  • At least 1 year of experience working with machine learning.
  • At least 1 year of experience utilizing relational databases.

Responsibilities

  • Partner with cross-functional team to deliver a product customers love.
  • Leverage Python, Conda, AWS, H2O, Spark to analyze huge data volumes.
  • Build machine learning models through all development phases, from design to deployment.
  • Translate complex work into tangible business goals.

Skills

Open source languages
Machine learning
Relational databases

Education

Bachelor's in quantitative field
Master's or MBA with quantitative focus
PhD in quantitative field

Tools

Python
AWS
Spark
H2O

Job description

Capital One seeks a Manager, Data Scientist for US Card Upmarket Acquisitions to lead data science for underwriting and acquisitions. You will partner with data engineers, product managers, and analysts to deliver data-driven solutions using Python, AWS, Spark, and other tools.

The role emphasizes end-to-end model development, deployment, monitoring, and governance while driving business impact and innovation across billions of records.

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