Capital One

Senior Data Scientist, Consumer Identity – Machine Learning

Capital One

full-time

Posted on:

Location Type: Hybrid

Location: McLean • California, New York, Virginia • 🇺🇸 United States

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Salary

💰 $133,000 - $165,600 per year

Job Level

Senior

Tech Stack

AWSPythonPyTorchScalaSparkSQL

About the role

  • Explore billions of clickstream events to discover the patterns in customer behavior, and use those patterns to model key customer outcomes
  • Develop the real-time models that use vast amounts of customer data to anticipate customers’ needs and deliver the right options at the right time
  • Develop the models that ensure our most important customer data is accurate, fighting fraud and other bad behavior, while enabling seamless digital experiences across all our products
  • Build machine learning models through all phases of development, from design through training, evaluation and validation
  • Partner with engineering teams to improve operationalization in scalable and resilient production systems that serve 50+ million customers
  • Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention
  • Write software (Python, e.g.) to collect, explore, visualize and analyze numerical and textual data using tools like Spark

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
  • A Master's Degree in a quantitative field or an MBA with a quantitative concentration preferred
  • At least 1 year of experience working with AWS
  • At least 2 years’ experience in Python, PyTorch, Scala, or R
  • At least 2 years’ experience with machine learning
  • At least 2 years’ experience with SQL
  • At least 2 years' experience working with natural language processing
Benefits
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningPythonPyTorchScalaRSQLnatural language processingdata analyticsmodel developmentdata visualization
Soft skills
collaborationcommunicationproblem-solvinganalytical thinkingcreativityadaptabilityattention to detailcritical thinkingteamworkleadership
Certifications
Bachelor's DegreeMaster's DegreeMBA with quantitative concentration