Principal Associate, Data Scientist - Card Intelligence

Discover Financial
Virginia, Cambridge, New York
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Customer-first","Innovation","Communication","Leadership","Problem-solving"]

Build and deploy machine learning models across the credit card lifecycle, turning complex customer data into insights that improve marketing, acquisitions, underwriting, and fraud prevention. Partner with data scientists, software engineers, and product managers to deliver customer-focused financial products at massive scale. Use a modern stack including Python, Conda, AWS, H2O, and Spark to design, train, evaluate, validate, and implement models while communicating results in business terms.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Scientist - Card Intelligence

✓ Verified Job

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Last checked: 2 hours agoStatus: Live

Job Summary

Build and deploy machine learning models across the credit card lifecycle, turning complex customer data into insights that improve marketing, acquisitions, underwriting, and fraud prevention. Partner with data scientists, software engineers, and product managers to deliver customer-focused financial products at massive scale. Use a modern stack including Python, Conda, AWS, H2O, and Spark to design, train, evaluate, validate, and implement models while communicating results in business terms.
Location: Virginia, Cambridge, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver products customers love.
  • •Leverage Python, Conda, AWS, H2O, Spark, and other technologies to uncover insights from large volumes of numeric and textual data.
  • •Build machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Translate technical findings into tangible business goals for stakeholders.
  • •Turn complex insights into real-world impact across the credit card lifecycle (marketing, acquisitions, underwriting, fraud prevention).

Pay and Benefits

Salary: USD 161,800 - 184,600 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 5 years of data analytics experience, or a Master’s degree (or MBA quantitative concentration) plus 3 years, or a PhD in a quantitative field.
  • •Experience performing data analytics with machine learning work (3+ years preferred).
  • •Hands-on experience with AWS (at least 1 year) and building data science solutions using open-source tools and cloud computing.
  • •At least 3 years of experience with Python, Scala, or R.
  • •At least 3 years of experience with machine learning and with SQL.
Experience:3+ yearsData analyticsMachine learning
Education:Bachelor's in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field)
Skills:Customer-firstInnovationCommunicationLeadershipProblem-solving
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLMachine learningOpen-source

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