Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

Discover Financial
United States
Workplace: OnsiteFull timeUSD 147,100 - 167,900 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Translating complexity into business goals","Researching emerging technologies","Cross-functional collaboration","Talent development","Comfortable with open-source tools"]

Build machine learning models and AI tools for the Global Payments Network by partnering with data scientists, software engineers, and product managers. Use Python-based and cloud tooling such as AWS, Spark, H2O, and Conda to uncover insights from large numeric and textual datasets. Own the full ML lifecycle—design, training, evaluation, validation, and implementation—while translating complex work into measurable business goals across fraud/risk, merchant acceptance, and monitoring.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

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Last checked: 2 hours agoStatus: Live

Job Summary

Build machine learning models and AI tools for the Global Payments Network by partnering with data scientists, software engineers, and product managers. Use Python-based and cloud tooling such as AWS, Spark, H2O, and Conda to uncover insights from large numeric and textual datasets. Own the full ML lifecycle—design, training, evaluation, validation, and implementation—while translating complex work into measurable business goals across fraud/risk, merchant acceptance, and monitoring.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver customer-facing products.
  • •Use Python and cloud/data tooling to extract insights from large volumes of numeric and textual data.
  • •Develop machine learning models end-to-end: design, training, evaluation, validation, and implementation.
  • •Apply emerging technologies and state-of-the-art methods to improve existing approaches.
  • •Communicate technical results clearly by mapping complex work to tangible business goals.

Pay and Benefits

Salary: USD 147,100 - 167,900 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field 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 3 years of experience with Python, Scala, or R.
  • •At least 3 years of experience with machine learning.
  • •At least 3 years of experience with SQL.
  • •Experience building AI/ML solutions using open-source tools and cloud computing platforms.
Education:Bachelor's in Quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related quantitative field)
Skills:Translating complexity into business goalsResearching emerging technologiesCross-functional collaborationTalent developmentComfortable with open-source tools
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLLarge Language Models (LLMs)Embedding modelsVector databases

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