Principal Associate, Data Science

Capital One Financial Corporation
Plano, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Plano, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Python
Machine Learning
Spark
Information Technology
Data Analytics

Job description

Principal Associate, Data Science positions offered by Capital One, National Association (Plano, Texas).

  • Exercising more discretion, 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 the insights hidden within huge volumes of numeric and textual 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.

Requirements

  • Requires a bachelor's or foreign equivalent degree in Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field and 5 years of experience in performing data analytics.
  • In lieu of a bachelor's or foreign equivalent degree in the aforementioned fields and 5 years of experience as stated, employer will accept a master's or foreign equivalent degree in the aforementioned fields or an MBA or foreign equivalent degree in a quantitative concentration and 3 years of experience as stated, or a PhD or foreign equivalent degree in the aforementioned fields.
  • Must pass company assessment.
  • Position reports to Plano, TX office. Telecommuting permitted in accordance with company policy, but must live within commuting distance of stated office.
  • Experience may be, but need not be, acquired concurrently.
  • Eligible for employee referral program.

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