Principal Associate, Data Scientist - Retail Bank Valuations Data Science

Discover Financial
United States
Full timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Storytelling"]

Build next-generation customer valuations models for the Retail Bank to improve marketing efficiency and drive account growth through targeting, measurement, and segmentation. Partner with subject matter experts to deliver flexible, well-managed models across economic conditions, and translate business goals into data science solutions. Develop ML models end to end in Python, including design, training, evaluation, validation, and implementation, while exploring advanced architectures like embeddings and sequence models.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Scientist - Retail Bank Valuations Data Science

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build next-generation customer valuations models for the Retail Bank to improve marketing efficiency and drive account growth through targeting, measurement, and segmentation. Partner with subject matter experts to deliver flexible, well-managed models across economic conditions, and translate business goals into data science solutions. Develop ML models end to end in Python, including design, training, evaluation, validation, and implementation, while exploring advanced architectures like embeddings and sequence models.
Location: United States
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build customer valuations models for the Retail Bank to improve marketing efficiency and drive account growth through targeting, measurement, and segmentation.
  • •Work with subject matter experts to deliver flexible, well-managed models that perform under varying economic conditions.
  • •Translate business goals into data science solutions and communicate technical details to senior stakeholders.
  • •Develop machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Explore next-generation model architectures such as embeddings and sequence models to unlock value in marketing efficiency.

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 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.
  • •At least 3 years’ experience with machine learning, including XGBoost.
  • •At least 3 years’ experience with SQL.
  • •At least 1 year’s experience with open-source programming languages for large-scale data analysis.
Education:Bachelor's in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
Skills:CommunicationProblem-solvingStorytelling
Tech Stack:PythonMachine learningXGBoostSQLOpen-sourceEmbeddingsSequence modelsData pipelinesModel operations

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