Principal Associate, Data Science - US Card Fraud Authentication Team

Discover Financial
New York
Workplace: OnsiteFull timeUSD 176,500 - 201,400 annuallyFunction: Data Science & Machine LearningSkills: ["Customer-first mindset","Problem-solving","Statistical analysis","Collaboration","Communication"]

Use machine learning to improve card fraud authentication and customer experience. You’ll analyze ambiguous fraud landscapes, design the technical vision for authentication workflows, and prototype scalable ML solutions using AWS, Spark, H2O, Python, Scala/R, and SQL. Partner with data scientists, software engineers, product managers, and business stakeholders to build end-to-end models—from training and evaluation through validation and implementation—translating technical decisions into business impact.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Science - US Card Fraud Authentication Team

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Use machine learning to improve card fraud authentication and customer experience. You’ll analyze ambiguous fraud landscapes, design the technical vision for authentication workflows, and prototype scalable ML solutions using AWS, Spark, H2O, Python, Scala/R, and SQL. Partner with data scientists, software engineers, product managers, and business stakeholders to build end-to-end models—from training and evaluation through validation and implementation—translating technical decisions into business impact.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Analyze ambiguous fraud landscapes to identify where machine learning can drive value.
  • •Design the technical vision for authentication workflows and prototype innovative ML solutions.
  • •Use a big data ecosystem (Spark, AWS, and more) to find patterns in massive datasets for fraud prevention.
  • •Collaborate with business stakeholders, data scientists, software engineers, and product managers to deliver customer-focused products.
  • •Build machine learning models across development phases, from design through training, evaluation, validation, and implementation.

Pay and Benefits

Salary: USD 176,500 - 201,400 annually
Perks:Health Insurance

Key Requirements

  • •Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience, or a Master’s degree in a quantitative field (or MBA with quantitative concentration) plus 3 years, or a PhD in a quantitative field.
  • •At least 1 year of experience working with AWS.
  • •At least 3 years of experience with machine learning.
  • •At least 3 years of experience with Python, Scala, or R.
  • •At least 3 years of experience with SQL.
Experience:FraudMachine learning
Education:
Skills:Customer-first mindsetProblem-solvingStatistical analysisCollaborationCommunication
Tech Stack:PythonAWSSparkH2OSQLScalaRMachine learningDeep learning

Eligibility

Work Authorization:Sponsorship available.

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