Director, Data Scientist - Generative AI Systems

Discover Financial
New York
Workplace: OnsiteFull timeUSD 269,100 - 307,200 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Customer focus","Leadership","Problem-solving","Communication","Talent development"]

Lead the Generative AI Systems (Genesis) team within Card Data Science, building state-of-the-art NLP, speech, and computer vision solutions. Partner across data science, software engineering, ML engineering, and product to deliver AI-powered, customer-facing capabilities. Use tools like PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, and VectorDBs to design, train, evaluate, and operationalize large language model solutions at production scale serving 80M+ customers.

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FursaFursa
Discover Financial
Discover Financial
1 month ago

Director, Data Scientist - Generative AI Systems

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Last checked: 6 hours agoStatus: Live

Job Summary

Lead the Generative AI Systems (Genesis) team within Card Data Science, building state-of-the-art NLP, speech, and computer vision solutions. Partner across data science, software engineering, ML engineering, and product to deliver AI-powered, customer-facing capabilities. Use tools like PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, and VectorDBs to design, train, evaluate, and operationalize large language model solutions at production scale serving 80M+ customers.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Partner with cross-functional teams of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products that change how customers interact with their money.
  • •Lead the development of generative AI solutions across dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series sequencing modeling.
  • •Build and iterate on NLP and machine learning models across design, training, evaluation, and validation, then operationalize them in scalable production systems.
  • •Leverage a broad technology stack (PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more) to extract insights from large numeric and textual datasets.
  • •Translate the complexity of technical work into tangible business goals while contributing research and implementing technologies that support customer experience.

Pay and Benefits

Salary: USD 269,100 - 307,200 annually

Key Requirements

  • •Bachelor’s, Master’s, or PhD in a quantitative field (or an MBA with quantitative concentration) with the corresponding years of data analytics experience.
  • •At least 4 years of experience leveraging open source programming languages for large-scale data analysis.
  • •At least 4 years of experience working with machine learning.
  • •At least 4 years of experience utilizing relational databases.
  • •At least 1 year of experience working with AWS.
Experience:4+ yearsGenerative AINLPMachine learningOpen source
Education:
Skills:Customer focusLeadershipProblem-solvingCommunicationTalent development
Tech Stack:PyTorchAWS UltraclustersHugging FaceLangChainLightningVectorDBsLarge Language ModelsNLPSpeech recognitionComputer visionLLMsPythonScalaRRelational 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