Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)

Discover Financial
New York, Plano
Workplace: OnsiteFull timeUSD 179,400 - 245,600 annuallyFunction: Data Science & Machine LearningExperience: 1+ yearsSkills: ["Customer-first mindset","Innovation","Creativity","Leadership","Analytical thinking"]

Lead the development of large-scale reinforcement learning recommender and personalization systems that deliver real-time, intelligent experiences across marketing, customer servicing, and digital products. Build and fine-tune foundation models from customer interaction data, apply transformers, LLMs, and reinforcement learning to improve long-term engagement, and create evaluation frameworks. Partner with engineering and product teams to deploy production-grade, low-latency systems.

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Discover Financial
Discover Financial
11 hours ago

Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead the development of large-scale reinforcement learning recommender and personalization systems that deliver real-time, intelligent experiences across marketing, customer servicing, and digital products. Build and fine-tune foundation models from customer interaction data, apply transformers, LLMs, and reinforcement learning to improve long-term engagement, and create evaluation frameworks. Partner with engineering and product teams to deploy production-grade, low-latency systems.
Location: New York, Plano
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design and develop state-of-the-art recommender systems using transformers, LLMs, and reinforcement learning.
  • •Advance personalization via sequence modeling, multi-modal learning, and contextual decision-making (e.g., contextual multi-armed bandits).
  • •Build and fine-tune foundation models trained on large-scale customer interaction data.
  • •Apply reinforcement learning to optimize long-term user engagement and business outcomes.
  • •Create evaluation frameworks and collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems.

Pay and Benefits

Salary: USD 179,400 - 245,600 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 6 years of data analytics experience, or a Master’s plus 4 years, or a PhD plus 1 year.
  • •At least 1 year of experience leveraging open source programming languages for large-scale data analysis.
  • •At least 1 year of experience working with machine learning.
  • •At least 1 year of experience utilizing relational databases.
  • •Hands-on experience with transformers, LLMs, or reinforcement learning, including work with large-scale datasets and distributed training.
Experience:1+ years
Education:
Skills:Customer-first mindsetInnovationCreativityLeadershipAnalytical thinking
Tech Stack:PythonPyTorchTensorFlowScalaRSQLAWSTransformersLLMsReinforcement learningMulti-modal learningMulti-armed banditsRelational databases

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