Senior.Analyst-Data Science (SQL, Python, Gen AI)

The Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing (GCSM) powers customer acquisition, engagement, and retention through data, advanced analytics, and AI. Within AIM, the Paid Search Analytics – GCS Digital Acquisitions team is focused on driving efficient acquisition through Paid Search by leveraging advanced analytics, audience insights, experimentation, bid optimization, and measurement. The team partners closely with marketing, product, technology, and platform teams to optimize search performance and maximize business outcomes. The team is responsible for developing data-driven strategies that improve targeting, bidding, and efficiency. In addition to driving day-to-day performance optimization, the team is focused on building next-generation acquisition capabilities by leveraging AI and GenAI to enhance audience targeting, bidding strategies, search insights, automation, and decision-making. How will you make an impact in this role? In this role, you will drive customer acquisition and business growth through data-driven Paid Search strategies, optimization, and measurement. You will leverage advanced analytics, experimentation, and AI/GenAI-powered capabilities to improve targeting, bidding, and campaign efficiency while delivering scalable growth. Additionally, you will partner with multiple stakeholders across marketing, product, technology, and platform teams to develop and execute strategic initiatives that maximize business impact. Develop analytical solutions, measurement frameworks, and data products that improve targeting accuracy, audience activation, and digital acquisition performance across Paid Search. Leverage structured and unstructured data to generate actionable insights and identify opportunities to improve acquisition efficiency and customer quality. Apply AI and GenAI techniques, including automated insights generation, semantic analysis, customer intent modeling, and search intelligence, to improve decision-making and analytical productivity. Drive experimentation, performance measurement, and investment optimization by designing tests, evaluating results, and translating findings into actionable recommendations. Analyze Paid Search bidding algorithms and auction dynamics to identify opportunities for improving campaign performance, visibility, and acquisition outcomes. Monitor the evolving search landscape, including emerging AI-powered search experiences and LLM-driven discovery platforms, and recommend strategies to enhance AMEX's visibility and acquisition effectiveness. Partner closely with marketing, product, technology, and platform teams to implement analytical solutions and ensure measurable business impact. Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). 1-3 years of professional work experience in Data Science and Analytics domain 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 Preferred Qualifications Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy. Experience in large data processing and handling; and basic understanding of data science: XGBoost, decision trees, regression modeling, etc. Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes. Strong communication skills with the ability to influence partners and drive action.