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Tier-1 brand, metro location, mid-level generalist data role and broad technical requirements increase candidate competition.
Core data science skills transfer across industries, though payments and marketing domain knowledge moderately matter.
Requires specific data science stack and advanced quantitative degree, enforcing strict technical and educational filters.
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Drive sentinel analytics for American Express commercial business, focusing on fraud prevention and profitable customer acquisitions.
Design and implement advanced prospect marketing analytics using machine learning and emerging AI/GenAI techniques.
Collaborate cross-functionally with business, technology partners, and stakeholders to deliver actionable insights that impact business growth.
Bachelor's in Engineering or Master's/PhD in quantitative fields like Statistics, Engineering, Physics, Mathematics, or Economics.
Hands-on experience with data science tools and programming languages such as Python, PySpark, Hive, Scala.
Proficiency in statistical and machine learning techniques applied to business problems.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating advanced data mining and AI/GenAI methodologies including regression, clustering, decision trees, semantic modeling for analytics innovation.
Ability to manage multiple concurrent projects with strong execution, prioritization, and project management skills across cross-functional global teams.
Comfortable communicating complex insights succinctly to senior leaders and collaborating across business and technical stakeholders.