Manager, Data Science - Consumer Identity Machine Learning

Discover Financial
San Francisco, Virginia, New York, San Jose
Workplace: OnsiteFull timeUSD 215,200 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 1+ yearsSkills: ["Experiment design","Model evaluation","Statistical thinking","Innovation"]

Lead the Consumer Identity ML team within Capital One’s AI foundation to build real-time machine learning models that personalize digital experiences and improve customer outcomes. Drive the full data science lifecycle—model design, training, evaluation, validation, and production operationalization—supporting 50M+ customers. Partner with product and engineering teams on experiments across marketing, servicing, and fraud prevention, using scalable open-source and cloud tooling to turn billions of customer events into actionable insights.

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Discover Financial
Discover Financial
1 month ago

Manager, Data Science - Consumer Identity Machine Learning

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Last checked: 3 hours agoStatus: Live

Job Summary

Lead the Consumer Identity ML team within Capital One’s AI foundation to build real-time machine learning models that personalize digital experiences and improve customer outcomes. Drive the full data science lifecycle—model design, training, evaluation, validation, and production operationalization—supporting 50M+ customers. Partner with product and engineering teams on experiments across marketing, servicing, and fraud prevention, using scalable open-source and cloud tooling to turn billions of customer events into actionable insights.
Location: San Francisco, Virginia, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Build machine learning models through design, training, evaluation, and validation, and partner with engineering teams to operationalize models in scalable, resilient production systems.
  • •Explore billions of clickstream events to discover patterns in customer behavior and model key customer outcomes.
  • •Develop real-time models that anticipate customer needs and deliver the right options at the right time.
  • •Develop models to ensure customer data accuracy and combat fraud and other bad behavior while enabling seamless digital experiences.
  • •Partner with business and product teams to conduct experiments that improve customer experiences and business outcomes in marketing, servicing, and fraud prevention.

Pay and Benefits

Salary: USD 215,200 - 245,600 annually

Key Requirements

  • •Bachelor’s in a quantitative field plus 6 years of experience in data analytics, or Master’s with 4 years, or PhD with 1 year (or currently in the process of obtaining the degree).
  • •At least 1 year of experience leveraging open-source programming languages for large-scale data analysis.
  • •At least 1 year of experience working with machine learning.
  • •At least 1 year of experience utilizing relational databases.
  • •Proficiency with statistical modeling concepts (e.g., confusion matrix/ROC curve) and experience across methods like clustering, classification, sentiment analysis, time series, and deep learning.
Experience:1+ years
Skills:Experiment designModel evaluationStatistical thinkingInnovation
Tech Stack:PythonSparkScalaRSQLAWSOpen-sourceRelational databasesMachine learningDeep learning

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn