Principal Associate, Data Science - US Card (Upmarket Segments)

Discover Financial
New York, Richmond
Workplace: OnsiteFull timeUSD 161,800 - 184,600 annuallyFunction: Data Science & Machine LearningExperience: 3-5 yearsSkills: ["Customer focus","Innovation","Creativity","Stakeholder collaboration","Communication"]

Use machine learning to uncover insights in large volumes of customer data for US card upmarket segmentation. Partner with data scientists, software engineers, and product managers to deliver customer-focused products. Build models end-to-end (design, training, evaluation, validation, implementation) using tools like Python, Conda, AWS, H2O, and Spark, and communicate results by translating complex analysis into business goals.

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Discover Financial
Discover Financial
4 hours ago

Principal Associate, Data Science - US Card (Upmarket Segments)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Use machine learning to uncover insights in large volumes of customer data for US card upmarket segmentation. Partner with data scientists, software engineers, and product managers to deliver customer-focused products. Build models end-to-end (design, training, evaluation, validation, implementation) using tools like Python, Conda, AWS, H2O, and Spark, and communicate results by translating complex analysis into business goals.
Location: New York, Richmond
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver customer-focused products.
  • •Leverage a broad stack (Python, Conda, AWS, H2O, Spark, and more) to reveal insights in large numeric and textual datasets.
  • •Build machine learning models across the full lifecycle from design through training, evaluation, validation, and implementation.
  • •Translate complex analyses into tangible business goals for stakeholders.
  • •Translate uncertainty and ambiguous problems into actionable solutions while researching and applying emerging technologies.

Pay and Benefits

Salary: USD 161,800 - 184,600 annually

Key Requirements

  • •Bachelor’s degree in a quantitative field plus 5 years of experience performing data analytics, or a Master’s degree in a quantitative field (or MBA with quantitative concentration) plus 3 years of experience performing data analytics, or a PhD in a quantitative field.
  • •3+ years of experience with machine learning.
  • •3+ years of experience with Python, Scala, or R.
  • •1+ year of experience working with AWS.
  • •3+ years of experience with SQL.
Experience:3-5 yearsFintechFinancial servicesData analyticsMachine learningOpen source
Education:
Skills:Customer focusInnovationCreativityStakeholder collaborationCommunication
Tech Stack:PythonCondaAWSH2OSparkScalaRSQLMachine learningDeep learningClusteringClassificationSentiment analysisTime seriesOpen-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