Remote Director, Data Science — Customer Experience

Capital One

Denver (CO)

Remote

USD 245,000 - 335,000

Full time

2 days ago
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Benefits offered by this job

Remote work

Job summary

Capital One is seeking a Director of Data Science for Consumer and Developer Experience. You will lead an analytics and ML product team, partnering with data scientists, engineers, and product managers to deliver high-impact solutions across billions of records.

The role emphasizes cloud/open-source tech, and real-time, intelligent banking products. You’ll work in a remote-eligible setting with strong salary ranges across multiple U.S.

Qualifications

  • Bachelor's degree in a quantitative field plus 9 years of data analytics experience
  • Master's degree in a quantitative field or MBA with quantitative concentration plus 7 years of data analytics experience
  • PhD in a quantitative field plus 4 years of data analytics experience
  • At least 4 years of experience leveraging open source programming languages for large scale data analysis
  • At least 4 years of experience building/deploying AI/ML models in production
  • At least 4 years of experience designing and analyzing A/B tests

Responsibilities

  • Partner with cross-functional team to deliver a product customers love
  • Leverage Python, Conda, AWS, H2O, Spark to reveal insights in large datasets
  • Build ML models through all development phases: design, training, evaluation, validation, implementation
  • Translate complex work into tangible business goals

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
4+ years of experience leveraging open source languages
4+ years of experience building/deploying AI/ML models in production
4+ years of experience designing and analyzing A/B tests

Tools

Python
Conda
AWS
H2O
Spark

Job description

Capital One is seeking a Director of Data Science for Consumer and Developer Experience. You will lead an analytics and ML product team, partnering with data scientists, engineers, and product managers to deliver high-impact solutions across billions of records.

The role emphasizes cloud/open-source tech, and real-time, intelligent banking products. You’ll work in a remote-eligible setting with strong salary ranges across multiple U.S.

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