American Express Hiring: Analyst – Data Science (SQL, Python, GenAI)

Introduction

American Express is hiring for the role of Analyst – Data Science (SQL, Python, GenAI) under its Data Mgmt and Analytics category.

The role description says it is ideal for someone passionate about digital marketing analytics and enthusiastic about emerging AI and GenAI capabilities. The posting also indicates that the position is associated with the Analytics, Investments and Marketing Enablement (AIM) team and the Paid Search Analytics area.

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Job details

Role snapshot

The posting describes the role as focused on driving customer acquisition and business growth through data-driven Paid Search strategies, optimization, and measurement. It also highlights the use of advanced analytics, experimentation, and AI/GenAI-powered capabilities to improve targeting, bidding, and campaign efficiency.

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The team works with marketing, product, technology, and platform stakeholders to develop and execute strategic initiatives. The posting also mentions that the role involves improving digital targeting outcomes through emerging AI and GenAI capabilities.

Responsibilities

• Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance across the AMEX website.
• Build and enhance targeting models leveraging AMEX’s vast first-party data and evolving digital intelligence capabilities.
• Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
• Drive experimentation, performance measurement and Investment optimization – designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.
• Develop & foster cross functional relationships with partners across American Express to ensure implementation of analytical solutions and ensure business impact.

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Eligibility and skills

• Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
• 0-2 years of professional work experience in Data Science and Analytics domain

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• Experience working with LLMs and in building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
• Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems
• Excellent written and oral communication skills

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Preferred Qualifications

• Hands-on GenAI experience with background in Prompt Engineering, RAG architectures to solve business problems
• Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
• Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.
• Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc.
• Strong communication skills with the ability to influence partners and drive action.