Manager, Data Scientist- Capital One Data Insights and Analytics

Discover Financial
New York, Virginia
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 1+ yearsSkills: ["Innovation","Statistical analysis","Cross-functional collaboration","Technical leadership","Problem-solving"]

Lead delivery of data science products for the Commercial Business Analysis team, partnering with data scientists, business analysts, and relationship managers to create value for clients. Own the end-to-end development of machine learning models with enterprise AI teams, including design, training, evaluation, validation, and implementation. Drive rigorous statistical analysis, back-testing, and data infrastructure modernization, while supporting complex integrations such as risk and portfolio analytics.

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Discover Financial
Discover Financial
3 days ago

Manager, Data Scientist- Capital One Data Insights and Analytics

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

Job Summary

Lead delivery of data science products for the Commercial Business Analysis team, partnering with data scientists, business analysts, and relationship managers to create value for clients. Own the end-to-end development of machine learning models with enterprise AI teams, including design, training, evaluation, validation, and implementation. Drive rigorous statistical analysis, back-testing, and data infrastructure modernization, while supporting complex integrations such as risk and portfolio analytics.
Location: New York, Virginia
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Partner with cross-functional teams to deliver a data science product that creates real value for clients.
  • •Develop machine learning models across all phases from design through training, evaluation, validation, and implementation.
  • •Conduct rigorous statistical analysis and back-testing against third-party data to integrate new datasets and validate insights.
  • •Modernize data infrastructure by building tailored analytical tools and implementing real-time automated validation controls.
  • •Support complex technical integrations for business projects, including run-off analysis, underwriting automation, and risk/portfolio management.

Key Requirements

  • •Bachelor’s in a quantitative field plus 6 years of data analytics experience, or Master’s (or MBA with quantitative concentration) plus 4 years, or PhD plus 1 year.
  • •At least 1 year leveraging open-source programming languages for large-scale data analysis.
  • •At least 1 year working with machine learning.
  • •At least 1 year utilizing relational databases.
  • •Preferred experience includes 1+ year with AWS, 4+ years with Python/Scala/R, and 4+ years with SQL and machine learning/embeddings.
Experience:1+ yearsFinancial servicesBankingData analyticsMachine learningOpen source
Education:
Skills:InnovationStatistical analysisCross-functional collaborationTechnical leadershipProblem-solving
Tech Stack:PythonScalaRSQLAWSMachine learningDeep learningEmbeddingsTime seriesClassificationClusteringSentiment analysisConfusion matrixROC curveRelational databases

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