Manager, Data Scientist - Recommendation & Personalization Systems

Discover Financial
New York, San Jose
Workplace: OnsiteFull timeUSD 197,300 - 245,600 annuallyFunction: Data Science & Machine LearningSkills: ["Customer-first","Research and evaluation","Translating complexity into business goals","Interpersonal communication","Data analysis"]

Lead an elite applied AI team focused on personalized customer experiences for web and mobile. Partner with data scientists, software engineers, and product managers to deliver recommendation products using foundation models and reinforcement learning. Build and deploy machine learning models across the full lifecycle, from design and training through evaluation and production implementation, using a high-scale cloud stack including AWS and Spark.

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Discover Financial
Discover Financial
1 month ago

Manager, Data Scientist - Recommendation & Personalization Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead an elite applied AI team focused on personalized customer experiences for web and mobile. Partner with data scientists, software engineers, and product managers to deliver recommendation products using foundation models and reinforcement learning. Build and deploy machine learning models across the full lifecycle, from design and training through evaluation and production implementation, using a high-scale cloud stack including AWS and Spark.
Location: New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Partner cross-functionally with data scientists, software engineers, and product managers to deliver customer-focused products.
  • •Use a broad technology stack to uncover insights from large volumes of numeric and textual data.
  • •Build machine learning models across design, training, evaluation, validation, and implementation.
  • •Develop and deploy personalized recommendation engines powered by foundation model research and reinforcement learning.
  • •Translate technical work into tangible business goals and operational impact.

Pay and Benefits

Salary: USD 197,300 - 245,600 annually
Perks:Health Insurance

Key Requirements

  • •Have, or be in the process of obtaining, a quantitative Bachelor’s (plus 6 years), Master’s (plus 4 years), or PhD (plus 1 year) in a related field.
  • •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.
  • •Strong hands-on experience delivering production-grade ML systems and state-of-the-art deep learning models (Transformer-based) using modern MLOps practices is preferred.
Experience:Machine learningData analyticsMLOpsDeep learningDistributed systems
Skills:Customer-firstResearch and evaluationTranslating complexity into business goalsInterpersonal communicationData analysis
Tech Stack:PythonCondaAWSH2OSparkPyTorchKubeflowCI/CDDASKPySparkTransformer-based architecturesReinforcement LearningCausal InferenceMulti-GPU optimizationFoundation ModelsDistributed trainingRelational databasesMLOps

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