Manager, Data Science - Emerging ML

Discover Financial
New York, San Jose
Workplace: OnsiteFull timeUSD 197,300 - 225,100 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Research","Modeling","Collaboration"]

Lead applied research in Emerging ML, focusing on embeddings and foundation-model technologies like self-supervised learning and transformers. Build and validate machine learning models across the full lifecycle, partnering with engineering to operationalize scalable systems that serve 50M+ customers. Collaborate with product and business teams to run experiments improving customer experiences and outcomes, and write Python/Scala software to analyze billions of records using Spark and AWS.

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FursaFursa
Discover Financial
Discover Financial
2 months ago

Manager, Data Science - Emerging ML

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 minutes agoStatus: Live

Job Summary

Lead applied research in Emerging ML, focusing on embeddings and foundation-model technologies like self-supervised learning and transformers. Build and validate machine learning models across the full lifecycle, partnering with engineering to operationalize scalable systems that serve 50M+ customers. Collaborate with product and business teams to run experiments improving customer experiences and outcomes, and write Python/Scala software to analyze billions of records using Spark and AWS.
Location: New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conduct research in self-supervised learning, transformer models, and representation learning for Emerging ML technologies.
  • •Build and validate machine learning models across design, training, evaluation, and validation, partnering with engineering to operationalize them in production systems.
  • •Develop customer behavioral models using transaction and clickstream data to identify trends and product usage patterns.
  • •Refine integration patterns for encoder/decoder models to connect Applied Research products to downstream business use cases.
  • •Write software (Python/Scala) to collect, explore, visualize, and analyze numerical and textual data at very large scale using Spark and AWS.

Pay and Benefits

Salary: USD 197,300 - 225,100 annually

Key Requirements

  • •Obtain a quantitative bachelor’s/master’s/PhD (or MBA with quantitative concentration) and have relevant experience performing data analytics (6 years with bachelor’s, 4 years with master’s/MBA, or 1 year with PhD).
  • •At least 1 year 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.
  • •At least 1 year of experience with machine learning solutions from concept through evaluation/validation and production partnering with engineering teams.
Experience:Financial servicesMachine learningData science
Education:Bachelor's
Skills:CommunicationProblem-solvingResearchModelingCollaboration
Tech Stack:PythonScalaRSparkAWSSQLRelational 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