Principal 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: ["Interpersonal skills","Customer focus","Innovation","Technical communication","Problem-solving"]

Build and deploy personalized recommendation engines at massive scale, working with an elite Applied AI team to improve customer experiences across web and mobile apps. Partner with data scientists, software engineers, and product managers to drive end-to-end ML development—design, training, evaluation, validation, and implementation. Use technologies like Python, AWS, Spark, and H2O to research and implement approaches spanning Foundation Models, reinforcement learning, causal inference, and transformer-based recommender systems.

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Discover Financial
Discover Financial
1 month ago

Principal Data Scientist - Recommendation & Personalization Systems

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Last checked: 3 hours agoStatus: Live

Job Summary

Build and deploy personalized recommendation engines at massive scale, working with an elite Applied AI team to improve customer experiences across web and mobile apps. Partner with data scientists, software engineers, and product managers to drive end-to-end ML development—design, training, evaluation, validation, and implementation. Use technologies like Python, AWS, Spark, and H2O to research and implement approaches spanning Foundation Models, reinforcement learning, causal inference, and transformer-based recommender systems.
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 of data scientists, software engineers, and product managers to deliver personalized customer experiences.
  • •Leverage a broad technology stack (Python, Conda, AWS, H2O, Spark) to extract insights from large volumes of numeric and textual data.
  • •Build machine learning models across the full development lifecycle, including design, training, evaluation, validation, and implementation.
  • •Architect and deploy cutting-edge personalized recommendation engines powered by research into foundation models and advanced reinforcement learning techniques.
  • •Translate the complexity of research and modeling into tangible business goals.

Pay and Benefits

Salary: USD 161,800 - 184,600 annually

Key Requirements

  • •Bachelors in a quantitative field plus 5 years of data analytics experience, or a Master’s in a quantitative field (or MBA with quantitative concentration) plus 3 years, or a PhD in a quantitative field.
  • •At least 3 years’ experience with Python, Scala, or R.
  • •At least 3 years’ experience with machine learning.
  • •At least 3 years’ experience with SQL.
  • •Preferred experience working with AWS and in STEM-focused graduate study (STEM Master’s or PhD).
Experience:3+ yearsData analyticsMachine learning
Skills:Interpersonal skillsCustomer focusInnovationTechnical communicationProblem-solving
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLTransformerReinforcement LearningFoundation ModelsRecommender 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