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Senior Manager - Data Science

americanexpress.com Logo

Amex

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

123000.00 - 215250.00 USD / Year
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Job Description:

Senior Manager, Data Science – AIM (Analytics, Investment & Marketing Enablement). 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.

Job Responsibility:

  • 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

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 have:

  • 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
  • You think like an owner and care about business impact—not just model accuracy
  • You’re curious, experimental, and constantly exploring new techniques and approaches
  • You thrive in a collaborative environment and enjoy turning data into strategy
What we offer:
  • 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

Additional Information:

Job Posted:
April 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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