Manager - Data Science

American Express
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: mastersSkills: ["Technical communication","Project management","Technical leadership","Mentorship","Prioritization"]

Lead an AI/ML cross-functional team to deliver production-grade solutions at scale, from business problem identification and dataset creation through modeling, validation, and deployment. Drive technical designs, design reviews, and code quality across the portfolio, including CI/CD integration and functional testing. Apply expertise across areas like generative AI, NLP, recommendation, and time-series, leveraging modern open-source pipelines, model serving, and observability tools.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
American Express
American Express
6 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: 19 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead an AI/ML cross-functional team to deliver production-grade solutions at scale, from business problem identification and dataset creation through modeling, validation, and deployment. Drive technical designs, design reviews, and code quality across the portfolio, including CI/CD integration and functional testing. Apply expertise across areas like generative AI, NLP, recommendation, and time-series, leveraging modern open-source pipelines, model serving, and observability tools.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Combine AI/ML and technology knowledge to implement highly scalable solutions for real-world use cases such as generative AI, personalization, image recognition, speech recognition, and time-series prediction.
  • •Build end-to-end solutions from business problem definition and data collection to modeling, validation, and delivery of production-grade outputs at scale.
  • •Define deployment strategies for production-quality AI solutions in cloud infrastructure at scale.
  • •Drive technical design work, conduct design reviews, and provide mentorship to team members.
  • •Own code health and quality across the portfolio, including innovation, functional testing, and CI/CD tool integration.

Pay and Benefits

Perks:Annual BonusHealth InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Leave

Key Requirements

  • •Master’s degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields (PhD preferred).
  • •Proven research track record with publications in journals and/or conferences.
  • •2+ years of full lifecycle product development and engineering leadership for highly available, scalable systems.
  • •2+ years of experience building AI/ML solutions that leverage machine learning algorithms/technologies and scale optimally.
  • •Expertise in at least one area such as Generative AI, Machine Learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, or Recommendation Systems.
Experience:2+ yearsAIMachine learningGenerative AICloudData scienceOpen source
Education:Master's
Skills:Technical communicationProject managementTechnical leadershipMentorshipPrioritization
Tech Stack:PythonJavaScalaJuliaAirflowKubeflow PipelinesML RunDockerKubernetesMesosMarathonKubeflow KF ServingTF ServingSeldon-CoreMLflowPrometheusGrafanaElasticsearchNotebooksPyCharm

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