Principal Associate, Data Science - Card Data Strategy

Capital One Financial
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Job Description

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

This associate will be part of the Bureau Data Strategy team which delivers a great customer experience for users of bureau features, maintains bureau data subject matter expertise, and creates high value credit features for use in predictive modeling in underwriting.

Role Description

In this role, you will:

  • 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
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

The role will require a hybrid skill set of strong software and data engineering skills, good machine learning techniques, strong data analysis, familiarity with modeling and credit usages, and the ability to become a credit bureau subject matter expert. The successful associate should:

  • Be able to deeply understand, extract, and transform raw data into organized formats
  • Analyze and develop insights from complex data
  • Derive and develop complex feature sets from source data using Python, to be used for machine learning models (feature engineering).
  • Productionize data and pipelines leveraging microservices and Big Data tools (such as PySpark) on AWS, with DevOps pipelines.
  • Strong software engineering skills and capable of developing and deploying production level code packages.

Basic Qualifications

  • Bachelor’s Degree plus 5 years of experience in data analytics, or Master’s Degree plus 3 years in data analytics, or PhD
  • At least 1 year of experience in open source programming languages for large scale data analysis
  • At least 1 year of experience with machine learning
  • At least 1 year of experience with relational databases

Preferred Qualifications

  • Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years’ experience in Python, Scala, or R
  • At least 3 years’ experience with machine learning
  • At least 3 years’ experience with SQL

Company Info.

Capital One Financial

Capital One Financial Corporation is an American bank holding company specializing in credit cards, auto loans, banking, and savings accounts, headquartered in McLean, Virginia with operations primarily in the United States. It is on the list of largest banks in the United States and has developed a reputation for being a technology-focused bank.

  • Industry
    Banking
  • No. of Employees
    51,985
  • Location
    Capital One Drive, McLean, Virginia, USA
  • Website
  • Jobs Posted

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Capital One Financial is currently hiring Principal Associate Data Science Jobs in McLean, VA, USA with average base salary of $120,000 - $190,000 / Year.

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