Senior Associate, Data Scientist - Commercial Bank Strategy & Analytics

Discover Financial
Virginia, New York
Workplace: OnsiteFull timeUSD 135,600 - 168,900 annuallyFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: mastersSkills: ["Interpersonal skills","Translating complexity","Innovation","Creativity","Technical problem-solving"]

Use advanced machine learning to drive commercial bank strategy across a large $100B+ loan portfolio. Partner with data scientists, software engineers, and product managers to build and deploy models from design and training through evaluation, validation, and implementation. Apply a technology stack including Python, Conda, AWS, H2O, and Spark to extract insights from large numeric and textual datasets, translating complex results into business goals.

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Discover Financial
Discover Financial
4 weeks ago

Senior Associate, Data Scientist - Commercial Bank Strategy & Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Use advanced machine learning to drive commercial bank strategy across a large $100B+ loan portfolio. Partner with data scientists, software engineers, and product managers to build and deploy models from design and training through evaluation, validation, and implementation. Apply a technology stack including Python, Conda, AWS, H2O, and Spark to extract insights from large numeric and textual datasets, translating complex results into business goals.
Location: Virginia, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-facing products.
  • •Leverage a technology stack (Python, Conda, AWS, H2O, Spark) to uncover insights in large numeric and textual datasets.
  • •Build machine learning models across all phases: design, training, evaluation, validation, and implementation.
  • •Translate model complexity into tangible business goals for forecasting and decision-making.

Pay and Benefits

Salary: USD 135,600 - 168,900 annually

Key Requirements

  • •Have or be pursuing a Bachelor’s in a quantitative field with 2 years of data analytics experience, or a Master’s in a quantitative field (or an MBA with a quantitative concentration).
  • •At least 2 years’ experience with Python.
  • •At least 2 years’ experience with machine learning.
  • •At least 2 years’ experience with SQL.
  • •Experience developing data science solutions using open-source tools and cloud computing platforms.
Experience:2+ yearsFintechBankingMachine learningData analytics
Education:Master's in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
Skills:Interpersonal skillsTranslating complexityInnovationCreativityTechnical problem-solving
Tech Stack:PythonCondaAWSH2OSparkSQLMachine learningDeep learningOpen source

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