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Tier-1 brand, metro location, and popular data science/GenAI role drive high candidate competition.
Data science and digital marketing skills are transferable but require domain knowledge, so medium sensitivity.
Mandatory master's degree and domain experience with specific tool proficiency increase screening rigidity.
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Lead development of analytical solutions and data products to improve digital targeting, personalization, and acquisition performance on AMEX website.
Build and enhance targeting models using first-party data and advanced digital intelligence capabilities, incorporating emerging AI and GenAI techniques.
Drive experimentation, performance measurement, and investment optimization by designing tests, evaluating results, and making actionable recommendations to improve conversion and efficiency.
Master's Degree in quantitative field (Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
At least 2 years of professional work experience in Data Science and Analytics domain.
Proficiency in SQL and Python; experience with LLMs and building ML models such as XGBoost, K-Means.
Work Experience Required: Minimum 2 years
Experienced in digital marketing analytics, personalization, website optimization, or acquisition strategy environment.
Strong analytical and conceptual thinking skills to solve complex business problems using advanced data science techniques.
Familiarity with emerging AI and GenAI capabilities applied to improving digital targeting, with hands-on experience in Prompt Engineering and RAG architectures preferred.