Senior Associate, Data Scientist - Bureau Data Strategy

Discover Financial
Virginia, New York
Workplace: OnsiteFull timeUSD 135,600 - 154,800 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Interpersonal skills","Statistical thinking","Problem solving"]

Build and apply machine learning models for credit bureau underwriting at scale, producing and leveraging high-usage bureau datasets. Partner with data scientists, software engineers, and product managers to deliver customer-impacting capabilities. Use technologies like Python, Conda, AWS, H2O, Spark, PySpark, and SQL to extract insights from large numeric and textual data, across the full model lifecycle from design through implementation.

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Discover Financial
Discover Financial
3 weeks ago

Senior Associate, Data Scientist - Bureau Data Strategy

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Last checked: 1 hour agoStatus: Live

Job Summary

Build and apply machine learning models for credit bureau underwriting at scale, producing and leveraging high-usage bureau datasets. Partner with data scientists, software engineers, and product managers to deliver customer-impacting capabilities. Use technologies like Python, Conda, AWS, H2O, Spark, PySpark, and SQL to extract insights from large numeric and textual data, across the full model lifecycle from design through implementation.
Location: Virginia, New York
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 customer-focused products.
  • •Leverage Python-based and cloud/ML tooling to uncover insights from large numeric and textual datasets.
  • •Build machine learning models across design, training, evaluation, validation, and implementation.
  • •Translate technical work into tangible business goals.
  • •Research and evaluate emerging technologies to improve data science approaches.

Pay and Benefits

Salary: USD 135,600 - 154,800 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 2 years of data analytics experience, or a Master’s degree in a quantitative field (or MBA with a quantitative concentration).
  • •2+ years of experience with PySpark for large-scale data analysis.
  • •2+ years of experience in Python, Scala, or R.
  • •2+ years of experience with machine learning.
  • •2+ years of experience with SQL.
Experience:Financial servicesCredit underwritingMachine learning
Education:Bachelor's in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related)
Skills:Interpersonal skillsStatistical thinkingProblem solving
Tech Stack:PythonCondaAWSH2OSparkPySparkScalaRSQLMachine learningDeep learning

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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