Data Science Manager

American Express

. Own defined Decision Science problems and workstreams from problem framing and analysis through solution development, experimentation, measurement, and ongoing optimization .

Posted 10/8/2026full-timeNew York City • New York • United StatesMid-LevelSenior💰 $103,750 - $174,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Decision Science, focusing on AI/ML solution development, experimentation, and optimization. Proficient in building analytical frameworks and collaborating across teams to drive impactful decisioning capabilities.

Highest-signal resume keywords

Data ScienceMachine LearningPythonSQLAI/GenAI Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical Problem-SolvingPredictive ModelingDecisioning ModelsExperimentationOptimization

Soft Skills

Strong Communication SkillsCollaborationKnowledge Sharing

Tools & Technologies

Agentic AIConversational AITransformer ArchitecturesLLMs

Industry Keywords

Decision SciencePersonalizationRecommendation SystemsContinuous OptimizationData Science Products

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own defined Decision Science problems and workstreams from problem framing and analysis through solution development, experimentation, measurement, and ongoing optimization
Develop analytical approaches and decisioning solutions across servicing experiences, personalization and membership value, colleague enablement, and operational excellence
Design and develop AI/ML and GenAI solutions spanning prediction, recommendation, optimization, experimentation, and intelligent orchestration
Apply and evaluate Agentic AI and agentic workflows, transformer-based recommenders and representation learning, Conversational AI/LLM systems, and advanced personalization or next-best-action methods
Make modeling and evaluation choices, identify data requirements and solution trade-offs, and ensure analytical rigor and practical scalability
Build and enhance reusable data science products and decisioning capabilities with Technology and platform teams
Support productionization and measure impact
Apply experimentation, monitoring, and continuous-learning approaches to improve model/AI quality and business outcomes
Lead defined workstreams and contribute to colleague development through collaboration, knowledge sharing, and technical support
Synthesize analysis into clear recommendations and narratives
Communicate with partners and contribute to decisions on solution choices, priorities, and execution

Requirements

What you’ll need

Bachelor’s degree in quantitative fields (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics, Finance)
Strong analytical and conceptual problem-solving skills, with the ability to structure and solve business problems and work through ambiguity
Strong hands-on foundation in data science and machine learning
Proficiency in Python, SQL, or similar tools
Experience building and evaluating predictive or decisioning models
Experience applying AI/GenAI techniques, with a strong technical foundation in solution development, experimentation, and model/AI evaluation
Experience owning analytical workstreams and collaborating across cross-functional teams to move solutions from analysis and development toward implementation and measurable impact
Strong written and verbal communication skills, with the ability to translate technical work into clear business recommendations and collaborate effectively with stakeholders
Preferred: Experience with Agentic AI/agentic workflows, transformer architectures or transformer-based recommendation systems, Conversational AI, LLMs, or related modern AI capabilities
Preferred: Experience with personalization, recommendation systems, next-best-action, optimization, customer decisioning, or intelligent automation
Preferred: Understanding of the end-to-end Decision Science lifecycle, including experimentation, productionization, monitoring, governance, and continuous optimization
Preferred: Experience working with large-scale customer, behavioral, interaction, or operational datasets and developing reusable data science products
Preferred: Developing commercial acumen and storytelling skills, with the ability to connect analytical and technical choices to customer and business value
Visa sponsorship may be provided for certain positions depending on business unit requirements, position nature, cost, and applicable laws

Benefits

Comp & perks

Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Competitive base salaries