Senior Manager - Data Science

American ExpressNew York, NY

About The Position

At American Express, our Global Commercial Services (GCS) business powers millions of businesses worldwide. Within GCS Marketing, the AIM (Analytics, Investment & Marketing Enablement) team serves as the analytical engine driving profitable growth, smarter investments, and differentiated customer value. We are a high-impact, fast-moving team that blends advanced data science, deep business context, and innovation to influence strategy at scale. If you’re excited about solving complex problems, building production-grade models, and shaping how we engage customers—this is your opportunity to make a measurable difference.

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 with the ability to translate ambiguous business questions into analytical frameworks
  • Hands-on experience with Python, PySpark, and SQL
  • Solid understanding of data mining, feature engineering, and model evaluation techniques

Nice To Haves

  • Master’s or PhD in a quantitative field
  • Experience building and deploying models in production environments
  • Familiarity with marketing analytics, customer targeting, or credit/risk modeling
  • Strong storytelling skills with the ability to influence non-technical stakeholders

Responsibilities

  • Design and deploy advanced machine learning models to optimize customer targeting, eligibility, and propensity segmentation
  • Drive end-to-end data science solutions —from problem framing and feature engineering to model deployment and performance monitoring
  • Enhance commercial data ecosystems, identifying new data signals and features that unlock incremental business value
  • Partner closely with marketing, product, and strategy teams to translate business needs into scalable analytical solutions
  • Influence acquisition and engagement strategies through data-driven insights and experimentation
  • Champion model governance and responsible AI practices, ensuring models meet enterprise risk and compliance standards
  • Communicate complex findings clearly to senior stakeholders, shaping decision-making with actionable insights
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