Senior Associate, Data Scientist - Recommendation & Personalization Systems

Discover Financial
New York, San Jose
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Interpersonal skills","Customer-first mindset","Innovation","Technical communication"]

Build and deploy personalized recommendation engines at scale, powering next-generation customer experiences across web and mobile applications. Join an elite Applied AI team spanning deep research and real-world impact, leveraging foundation models, reinforcement learning, causal inference, and advanced recommender systems. Work with data scientists, software engineers, and product managers to develop end-to-end machine learning solutions—from design and training to evaluation, validation, and production implementation—using tools like Python, AWS, Spark, and SQL.

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Discover Financial
Discover Financial
1 day ago

Senior Associate, Data Scientist - Recommendation & Personalization Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and deploy personalized recommendation engines at scale, powering next-generation customer experiences across web and mobile applications. Join an elite Applied AI team spanning deep research and real-world impact, leveraging foundation models, reinforcement learning, causal inference, and advanced recommender systems. Work with data scientists, software engineers, and product managers to develop end-to-end machine learning solutions—from design and training to evaluation, validation, and production implementation—using tools like Python, AWS, Spark, and SQL.
Location: 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 customer-facing products.
  • •Use a broad technology stack to extract insights from large volumes of numeric and textual data.
  • •Develop machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Architect and deploy personalized recommendation engines for billions of interactions using scalable infrastructure.
  • •Translate technical complexity into tangible business goals and customer outcomes.

Key Requirements

  • •Have (or be pursuing) a Bachelor's in a quantitative field with 2 years of experience performing data analytics, or have a Master's in a quantitative field (or an MBA with a quantitative concentration).
  • •At least 2 years of experience with Python, Scala, or R.
  • •At least 2 years of experience with machine learning.
  • •At least 2 years of experience with SQL.
  • •Preferred: experience working with AWS, plus a STEM Master’s or PhD.
Experience:2+ yearsMachine learningBig data
Education:
Skills:Interpersonal skillsCustomer-first mindsetInnovationTechnical communication
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLTransformerReinforcement LearningCausal Inference

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