Manager - Data Science

American Express
New York
Workplace: HybridFull timeUSD 103,750 - 174,750 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Problem-solving","Cross-functional collaboration","Prioritization"]

Lead analytical work that powers American Express’s Commercial digital acquisition engine. Design and implement data-driven strategies, scalable analytics solutions, and ML-based decisioning to improve targeting accuracy, personalization, and prospect conversion. Own end-to-end audience segmentation and experimentation, build and enhance models using first-party data, apply emerging AI/GenAI techniques, and collaborate with business, digital, and technology partners to deliver measurable performance improvements.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
American Express
American Express
3 days ago

Manager - Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Lead analytical work that powers American Express’s Commercial digital acquisition engine. Design and implement data-driven strategies, scalable analytics solutions, and ML-based decisioning to improve targeting accuracy, personalization, and prospect conversion. Own end-to-end audience segmentation and experimentation, build and enhance models using first-party data, apply emerging AI/GenAI techniques, and collaborate with business, digital, and technology partners to deliver measurable performance improvements.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead analytical work that fuels AMEX’s Corporate digital acquisition engine by designing and implementing data-driven strategies.
  • •Develop data products and analytical solutions to improve targeting accuracy, personalization, and digital acquisition performance.
  • •Own end-to-end analyses for audience segmentation, experimentation, funnel optimization, and identifying acquisition opportunities.
  • •Build and enhance models and decisioning strategies using first-party data and evolving digital intelligence capabilities, including AI/GenAI techniques.
  • •Drive experimentation, performance measurement, and investment optimization by designing test structures, evaluating results, and recommending actions.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityParental LeaveRetirement

Key Requirements

  • •Strong analytical and problem-solving skills to work through complex, ambiguous business questions.
  • •Experience building ML models such as XGBoost and K-Means, with proficiency in SQL, Python, or similar tools.
  • •Ability to translate data into insights and communicate recommendations to business partners.
  • •Experience collaborating cross-functionally and influencing decisions through data-driven insights.
  • •Demonstrated ability to manage multiple priorities in a fast-paced environment.
Education:Bachelor's
Skills:CommunicationProblem-solvingCross-functional collaborationPrioritization
Tech Stack:XGBoostK-MeansSQLPythonA/B testingClickstream analytics

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