Senior Associate, Data Scientist - Applied AI

Discover Financial
New York, Virginia
Workplace: OnsiteFull timeUSD 148,000 - 168,900 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Interpersonal communication","Innovation","Problem-solving","Translating complexity","Technical curiosity"]

Build and deploy generative AI capabilities in the Commercial Bank Applied AI team, partnering with data scientists, machine learning engineers, and product managers. Develop multi-agent systems and advanced RAG pipelines using Python, PyTorch, LangChain, AWS, Spark, and vector databases. Own the model and pipeline lifecycle from context engineering through fine-tuning, evaluation, validation, and deployment, with a strong focus on statistical rigor and business impact.

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FursaFursa
Discover Financial
Discover Financial
11 hours ago

Senior Associate, Data Scientist - Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Build and deploy generative AI capabilities in the Commercial Bank Applied AI team, partnering with data scientists, machine learning engineers, and product managers. Develop multi-agent systems and advanced RAG pipelines using Python, PyTorch, LangChain, AWS, Spark, and vector databases. Own the model and pipeline lifecycle from context engineering through fine-tuning, evaluation, validation, and deployment, with a strong focus on statistical rigor and business impact.
Location: New York, Virginia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams to deliver generative AI solutions customers love.
  • •Build multi-agent systems and advanced RAG pipelines over large numeric and textual datasets using Python, PyTorch, LangChain, AWS, Spark, and vector databases.
  • •Develop generative AI models and pipelines across context engineering, fine-tuning, evaluation, validation, and deployment.
  • •Translate model and pipeline complexity into tangible business goals.
  • •Research and evaluate emerging technologies and apply state-of-the-art methods to practical use cases.

Pay and Benefits

Salary: USD 148,000 - 168,900 annually

Key Requirements

  • •Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of experience performing data analytics.
  • •Master's degree in a quantitative field or an MBA with a quantitative concentration.
  • •At least 2 years of experience in Python, Scala, or R.
  • •At least 2 years of experience with machine learning and machine learning models, validated and backtested.
  • •At least 2 years of experience with SQL and at least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP.
Experience:2+ years
Education:
Skills:Interpersonal communicationInnovationProblem-solvingTranslating complexityTechnical curiosity
Tech Stack:PythonPyTorchLangChainAWSSparkVector DatabasesSQLScalaRMulti-Agent SystemsRAGROC curve

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