Analyst-Data Science
American Express (company site, opens in a new tab)0–2.5 yrsGurugram, BengaluruHybridDirect career pageEst. 10–18 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and validate predictive models to enable profitable decisions across risk, fraud, and marketing domains.
- Analyze large datasets to generate business insights and create innovative machine learning solutions using big data technologies.
- Communicate business findings clearly to leadership and partners; stay updated on developments in finance, payments, and analytics fields.
Minimum Requirements
- Master's degree in MBA, Economics, Statistics, Computer Science, or related fields.
- 0-30 months of experience in analytics or big data workstreams.
- Technical skills in SAS, R, Python, Hive, Spark, SQL, and familiarity with supervised and unsupervised machine learning techniques.
- Work Experience Required: 0-30 months in analytics or big data; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Comfortable working with complex, unstructured data and applying advanced machine learning techniques including reinforcement learning and Bayesian models.
- Capable of integrating and collaborating effectively with cross-functional global business partners.
- Able to drive project deliverables independently and communicate findings to senior leadership clearly.