Analyst – Data Science

Job Overview

Join the Credit & Fraud Risk (CFR) team at American Express and work on high-impact data science solutions that drive real business outcomes. You’ll build predictive models, analyze large datasets, and develop innovative risk strategies using advanced ML and big data tools.

Key Responsibilities

• Build and validate predictive models for fraud, risk, and marketing.
• Analyze and derive insights from large-scale data.
• Collaborate with global teams and senior leadership.
• Innovate with machine learning, AI, and cloud technologies.

Required Skills

• Knowledge of Python, SQL, R, SAS, Hive, Spark
• Exposure to ML techniques: decision trees, neural networks, Bayesian models, etc.
• Strong problem-solving, communication, and teamwork skills

Qualifications

• Master’s in Statistics, Economics, Computer Science, or related field
• 0–18 months of experience in analytics or data science

Why Join American Express?
You’ll be part of a globally respected team solving meaningful challenges in finance and technology—impacting millions of users. A culture of continuous learning, leadership support, and a mission to drive innovation make this a great place to launch your data science career.

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