Senior Manager - Data Science

American Express
New York
Workplace: HybridFull timeUSD 123,000 - 215,250 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Problem-solving","Storytelling","Collaboration","Ownership mindset","Stakeholder influence"]

Lead the development of next-generation decision science solutions that drive Expense Management growth and customer engagement. Design and deploy advanced machine learning models for targeting, eligibility, and propensity segmentation, and deliver end-to-end data science from problem framing through feature engineering, deployment, and monitoring. Enhance commercial data ecosystems, partner with marketing/product/strategy teams, and champion model governance and responsible AI practices.

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FursaFursa
American Express
American Express
1 day ago

Senior Manager - Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Lead the development of next-generation decision science solutions that drive Expense Management growth and customer engagement. Design and deploy advanced machine learning models for targeting, eligibility, and propensity segmentation, and deliver end-to-end data science from problem framing through feature engineering, deployment, and monitoring. Enhance commercial data ecosystems, partner with marketing/product/strategy teams, and champion model governance and responsible AI practices.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the development of decision science solutions that power Expense Management growth and customer engagement strategies.
  • •Design and deploy advanced machine learning models for customer targeting, eligibility, and propensity segmentation.
  • •Drive end-to-end data science work from problem framing and feature engineering to model deployment and performance monitoring.
  • •Enhance commercial data ecosystems by identifying new data signals and features that unlock incremental business value.
  • •Partner with marketing, product, and strategy teams and champion model governance and responsible AI practices.

Pay and Benefits

Salary: USD 123,000 - 215,250 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability Insurance401kParental LeaveCounseling

Key Requirements

  • •Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering, Economics) or equivalent practical experience.
  • •3+ years of experience in data science, decision science, or advanced analytics, ideally in financial services or a related industry.
  • •Proven ability to apply modern machine learning techniques to solve real-world business problems.
  • •Strong problem-solving skills to translate ambiguous business questions into analytical frameworks.
  • •Hands-on experience with Python, PySpark, and SQL.
Experience:3+ yearsFinancial servicesDecision scienceAdvanced analyticsMarketing analyticsCredit risk modeling
Education:Bachelor's
Skills:Problem-solvingStorytellingCollaborationOwnership mindsetStakeholder influence
Languages:US
Tech Stack:PythonPySparkSQL

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn