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Principal Associate, Data Scientist - US Card (Risk R&D)

Principal Associate, Data Scientist - US Card (Risk R&D)

Capital One National AssociationMcLean, VA, United States
14 days ago
Job type
  • Full-time
  • Part-time
Job description

Overview

Principal Associate, Data Scientist - US Card (Risk R&D). 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. Fast-forward to today, Capital One is a leader in data-driven decision-making with a focus on scalable, innovative technology.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading disruption at a new scale, operating across billions of customer records to uncover opportunities that help everyday people save money, time and reduce financial stress.

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 insights within large 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 through strong interpersonal communication.

The Ideal Candidate is

  • Customer first — focused on making the right decision for our customers.
  • Innovative — keeps current with emerging technologies and applies them where appropriate.
  • Creative — thrives on solving big, undefined problems and sharing new ideas.
  • A leader — challenges conventional thinking and develops talent.
  • Technical — comfortable with open-source languages and cloud computing; experienced in building data science solutions.
  • Statistically-minded — has model-building experience, validation, and interpretation of metrics such as confusion matrices, ROC, etc.; exposure to clustering, classification, sentiment analysis, time series, and deep learning.
  • Data guru — able to retrieve, combine, and analyze data from diverse sources and structures; understands that data understanding is key to great data science.
  • Basic Qualifications

    Currently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained on or before the scheduled start date :

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience.
  • A Master's Degree in a quantitative field or MBA with a quantitative concentration plus 3 years of data analytics experience.
  • A PhD in a quantitative field.
  • Preferred Qualifications

  • Master’s Degree in a STEM field plus 3 years of data analytics, or PhD in STEM.
  • At least 1 year of experience 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.
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

    The salary range is location-based and may vary by location. Chicago, IL : $144,200 - $164,600; McLean, VA : $158,600 - $181,000; New York, NY : $173,000 - $197,400. Other locations follow local pay ranges. Candidates hired in other locations will be paid according to that location’s range. This role is eligible for performance-based incentives and may include cash bonuses or long-term incentives depending on the plan.

    Capital One offers a comprehensive set of health, financial and other benefits. Eligibility varies by full-time / part-time status and other factors. Learn more on the Capital One Careers website. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability / vet) committed to non-discrimination in compliance with applicable laws. Capital One promotes a drug-free workplace and may consider applicants with criminal histories in accordance with applicable laws.

    If you require an accommodation during the application process, contact Capital One Recruiting. All information provided will be kept confidential and used only to provide needed accommodations.

    Capital One does not provide, endorse nor guarantee third-party products or services available through this site. Capital One Financial is made up of several entities; postings may correspond to Capital One Canada, Capital One Europe, or Capital One Philippines Service Corp., depending on location.

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