Principal Associate, Data Scientist - Recommendation & Personalization Systems

Discover Financial
Virginia, New York, San Jose
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Customer-first mindset","Interpersonal communication","Innovation","Data analysis"]

Build and deploy personalized recommendation engines at scale, partnering with data scientists, software engineers, and product managers to deliver customer-first experiences across web and mobile. Use Python and modern ML tooling to design, train, evaluate, validate, and implement machine learning models powered by foundation models, reinforcement learning, and recommender systems. Translate complex research into measurable business impact across billions of customer records.

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Discover Financial
Discover Financial
14 hours ago

Principal Associate, Data Scientist - Recommendation & Personalization Systems

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build and deploy personalized recommendation engines at scale, partnering with data scientists, software engineers, and product managers to deliver customer-first experiences across web and mobile. Use Python and modern ML tooling to design, train, evaluate, validate, and implement machine learning models powered by foundation models, reinforcement learning, and recommender systems. Translate complex research into measurable business impact across billions of customer records.
Location: Virginia, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams to deliver personalized customer experiences.
  • •Leverage a broad technology stack (Python, Conda, AWS, H2O, Spark) to extract insights from large numeric and textual datasets.
  • •Build machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Architect and deploy cutting-edge recommendation engines for large-scale user interactions.
  • •Translate research and model complexity into tangible business goals for customers.

Pay and Benefits

Salary: USD 161,800 - 184,600 annually
Perks:Health Insurance

Key Requirements

  • •Bachelor’s degree in a quantitative field (or equivalent) plus 5 years of experience performing data analytics, or a Master’s plus 3 years of experience, or a PhD in a quantitative field.
  • •3+ years of experience in Python, Scala, or R.
  • •3+ years of experience with machine learning.
  • •3+ years of experience with SQL.
  • •At least 1 year of experience working with AWS.
Experience:3+ yearsFinancial servicesMachine learning
Skills:Customer-first mindsetInterpersonal communicationInnovationData analysis
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLMachine learningReinforcement LearningTransformersFoundation ModelsCausal InferenceRecommender Systems

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