Principal Associate, Data Scientist - Retail Bank Marketing

Discover Financial
Virginia, New York
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Storytelling","Problem-solving","Creativity","Collaboration"]

Build and deploy machine learning models for Retail Bank Marketing, translating marketing and business goals into data science solutions that improve channel spend efficiency, product/channel targeting, and new-account value. Work end-to-end across design, training, evaluation, validation, and implementation while partnering with subject matter experts. Explore next-generation architectures like embeddings and sequence models, and communicate results to senior stakeholders.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Scientist - Retail Bank Marketing

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

Job Summary

Build and deploy machine learning models for Retail Bank Marketing, translating marketing and business goals into data science solutions that improve channel spend efficiency, product/channel targeting, and new-account value. Work end-to-end across design, training, evaluation, validation, and implementation while partnering with subject matter experts. Explore next-generation architectures like embeddings and sequence models, and communicate results to senior stakeholders.
Location: Virginia, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Work closely 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 with senior stakeholders.
  • •Build machine learning models across development phases: design, training, evaluation, validation, and implementation.
  • •Explore next-generation model architectures (e.g., embeddings, sequence models) to unlock value in marketing efficiency.
  • •Develop model pipelining and well-managed model operations using Python and ML libraries in production environments.

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 Masters in a quantitative field (or MBA with quantitative concentration) plus 3 years, or PhD in a quantitative field.
  • •Hands-on experience with Python and building end-to-end model pipelines using software engineering techniques.
  • •At least 3 years of experience with machine learning algorithms and predictive solutions.
  • •At least 3 years of experience with SQL.
  • •At least 3 years of experience with Python, plus experience communicating technical details to varied audiences.
Experience:FintechData analyticsMachine learningMarketing
Education:
Skills:CommunicationStorytellingProblem-solvingCreativityCollaboration
Tech Stack:PythonMachine learningSQLEmbeddingsSequence modelsRelational databaseModel pipeliningModel 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