Principal Associate, Data Scientist - Bank Operations Data Science

Discover Financial
United States
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningSkills: ["Interpersonal skills","Translating complexity","Research","Problem-solving","Technical documentation"]

Build and deploy machine learning models for Bank Operations capabilities like check/document reading, anomaly identification, natural language processing of calls, and operational forecasting. Collaborate with data scientists, software engineers, and product managers to deliver customer-facing products. Use Python and Snowflake with cloud platforms to design, train, evaluate, validate, and implement models, including call center summarization and automation to improve associate workflows.

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Discover Financial
Discover Financial
1 month ago

Principal Associate, Data Scientist - Bank Operations Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and deploy machine learning models for Bank Operations capabilities like check/document reading, anomaly identification, natural language processing of calls, and operational forecasting. Collaborate with data scientists, software engineers, and product managers to deliver customer-facing products. Use Python and Snowflake with cloud platforms to design, train, evaluate, validate, and implement models, including call center summarization and automation to improve associate workflows.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with cross-functional teams of data scientists, software engineers, and product managers to deliver products customers love.
  • •Leverage a broad stack including Python and Snowflake to uncover insights from large volumes of numeric and textual data.
  • •Build machine learning models across the full lifecycle: design, training, evaluation, validation, and implementation.
  • •Translate model complexity into tangible business goals and communicate results effectively.
  • •Work with call center operations to streamline call processing, including summarization and automation to support associates.

Pay and Benefits

Salary: USD 161,800 - 184,600 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field with 5 years of data analytics experience, or a Master’s with 3 years, or a PhD in a quantitative field.
  • •Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • •Experience building, validating, and backtesting models, including familiarity with confusion matrices and ROC curves.
  • •At least 1 year of experience working with AWS.
  • •At least 3 years of experience with Python, Scala, or R, plus at least 3 years each in machine learning and SQL.
Experience:Financial services
Skills:Interpersonal skillsTranslating complexityResearchProblem-solvingTechnical documentation
Tech Stack:PythonSnowflakeAWSScalaRSQLOpen-sourceNeural networksLLMsTransformer architecturesAgentic experiencesNatural language processingSentiment analysisTime seriesClusteringClassificationDeep learning

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