Manager – Data Science

American Express

Data Science Manager building predictive models and Generative AI solutions for American Express’ corporate customer acquisition engine. Partnering with Marketing, Sales, Product, and Technology to deliver production-ready analytical products.

Posted 8/6/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $103,750 - $174,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing data-driven solutions using Python and SQL, with a strong focus on predictive modeling, machine learning, and Generative AI techniques. Capable of translating complex business problems into scalable analytical frameworks while ensuring compliance with Responsible AI principles.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyPredictive ModelingGenerative AI TechniquesData-Driven Decision Making

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningAdvanced AnalyticsCustomer AnalyticsDecision ScienceAnalytical FrameworksModel GovernanceBias AssessmentA/B TestingData Quality

Soft Skills

Excellent CommunicationStakeholder ManagementExecutive Presentation Skills

Tools & Technologies

AI-Powered Analytical ProductsCustomer Scoring FrameworksAnalytical PipelinesNLP TechniquesRAGLLMsPrompt Engineering

Industry Keywords

Business Impact MeasurementCross-Functional CollaborationEmerging AI TechnologiesScalabilityCost Efficiency

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Translate complex business problems into structured analytical frameworks and develop data-driven solutions that improve targeting, prospect identification, personalization, and acquisition performance
Design, build, and deploy predictive models, machine learning solutions, customer scoring frameworks, prioritization models, and AI-powered analytical products
Develop scalable analytical pipelines using Python, SQL, and modern AI/ML techniques, focusing on production readiness, automation, and reusability
Apply Generative AI techniques including LLMs, RAG, embeddings, prompt engineering, and NLP to enhance customer acquisition, lead qualification, personalization, and decision intelligence
Evaluate analytical and GenAI approaches based on accuracy, explainability, scalability, latency, cost efficiency, and business value
Partner with Marketing, Sales, Product, Engineering, and Technology teams to define use cases, integrate solutions into workflows, and accelerate adoption
Lead experimentation and optimization through A/B tests, business-impact measurement, model-performance monitoring, and continuous refinement
Ensure models and AI solutions follow Responsible AI principles, model governance, explainability, bias assessment, data quality, monitoring, and regulatory compliance
Present analytical findings, recommendations, and AI solution strategies to senior leadership
Track emerging AI, machine learning, and Generative AI technologies to improve Commercial customer acquisition

Requirements

What you’ll need

Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, Finance, or another quantitative discipline
2+ years of experience in Data Science, Advanced Analytics, Machine Learning, Decision Science, or Customer Analytics
Strong hands-on experience with Python and SQL on large-scale datasets
Experience developing predictive models, machine learning solutions, and customer targeting or decisioning frameworks
Working knowledge of Generative AI concepts and applications, including LLMs, prompt engineering, RAG, or NLP techniques
Ability to translate complex business problems into scalable analytical solutions and influence decisions through data-driven insights
Experience collaborating with cross-functional business, product, engineering, and technology teams
Excellent communication, stakeholder management, and executive presentation skills
Visa sponsorship may be provided for certain positions depending on requirements, cost, and applicable laws

Benefits

Comp & perks

Competitive base salaries
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
Salary bonus and benefits package