Senior Analyst-Data Science
American Express (company site, opens in a new tab)2–3 yrsBengaluru, GurugramHybridDirect career pageEst. 14–28 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Own development and deployment of predictive, explanatory, NLP and GenAI solutions for Sales portfolio performance, including forecasting, incentive design and anomalous or gaming-behavior detection.
- Turn Sales and client data into measurable recommendations; define KPIs and provide executive-level updates, including automated monthly measurement of strategic initiatives.
- Build scalable modeling workflows and data pipelines, and establish validation and monitoring approaches for GenAI-enabled analytics solutions.
Minimum Requirements
- Work Experience Required: 2–3 years in data science, analytics or a related quantitative field.
- Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering or Economics.
- Strong Python and SQL; applied ML experience with standard libraries and familiarity with NLP; experience with cloud data platforms. The JD also lists data visualization, ETL, Git, Excel and PowerPoint proficiency.
- Shift timing: 1 PM to 10 PM IST.
Ideal Candidate Profile
- Has applied data science experience suited to business-facing Sales analytics, translating ambiguous commercial questions into measurable frameworks and decisions.
- Can connect modeling work to quantifiable business outcomes, communicating findings and recommendations to stakeholders and executive leadership.
- Best suited to work spanning model development through operationalization, with exposure to scalable cloud workflows and practical GenAI evaluation or production ML.