Capital_One
Capital_OneVerified Source

Senior Data Scientist Consumer Identity Machine Learning Capital One

Onsite · San Jose, California
Posted August 1, 2026
payroll

Overview

Lead machine learning initiatives for consumer identity at Capital One. Own end-to-end pipeline from data exploration to model deployment serving billions of customers. Drive innovation in real-time personalization and fraud detection. Shape data strategy across digital products.

What You'll Do11

  • 1Explore billions of clickstream events to uncover behavioral patterns and model key outcomes
  • 2Develop real-time predictive models delivering personalized options at optimal moments
  • 3Ensure accuracy of critical customer data while preventing fraud across digital platforms
  • 4Collaborate with product and engineering teams to operationalize models in scalable systems
  • 5Partner with cross-functional teams to run experiments improving marketing servicing and fraud outcomes
  • 6Write Python code to ingest and analyze massive datasets using Spark and relational databases
  • 7Design and validate machine learning solutions through rigorous testing and interpretation of metrics
  • 8Mentor junior scientists and share insights on emerging technologies and methodologies
  • 9Analyze time series and text data to extract actionable intelligence
  • 10Implement clustering classification and deep learning techniques for complex problems
  • 11Translate ambiguous business challenges into clear analytical objectives

Requirements10

  • 1Bachelor's Degree in Statistics Economics Operations Research Analytics Mathematics Computer Science or related field with 6 years data analytics experience
  • 2Master's Degree in quantitative field or MBA with 4 years data analytics experience
  • 3At least 1 year open source programming for large-scale data analysis
  • 4At least 1 year machine learning experience
  • 5At least 1 year relational database proficiency
  • 6PhD preferred with 3 years data analytics experience
  • 7AWS experience preferred
  • 8Proficiency in Python Scala or R for big data processing
  • 9Strong SQL skills
  • 10Experience with Spark and distributed computing environments

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationSan Jose, California

Required Skills

pythonsparkawsmachine learningsql
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