20/11 American Express Recruitment Team
Recruitment Team at American Express

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American Express - Business Manager/Assistant Manager - Global Commercial Data Sciences (1-3 yrs)

Gurgaon/Gurugram/Haryana Job Code: 635583

Job Description:


This position will be a part of Global Commercial Data Science team. Our world-class analytics team applies rigorous, solution-oriented analysis and modeling techniques to help businesses attract and retain customers, understand market trends, track and diagnose market share changes and improve advertising and marketing effectiveness. Job responsibilities include: -


1) Delivering on modeling priorities - Developing and enhancing statistical models by utilizing the best-in-class modeling techniques with available data


2) Exploration of new Information sources to create predictive attributes that provide incremental discrimination


3) Tracking and monitoring the performance of existing models and conduct reviews


4) Work closely with other teams to develop system capabilities, models, controls and designing data elements

This role may be subject to additional background verification checks.


Qualification:-


- Postgraduate (M.Tech / MBA / M. Stats / MA Economics) with 1-3 years of work experience in the analytics industry


- Proficiency & experience in econometric, statistical and machine learning techniques to develop best in class predictive models & clustering methodology is preferred


- Proficiency in Big Data (Python; Hive) and SAS/SQL. Working knowledge of Hadoop architecture & analytical tools (GBM, K nearest neighbor etc)


- Experience working in a highly cross-functional environment, flexibility and adaptability to work with tight deadlines and changing priorities


- Relevant statistical analysis/econometric experience and ability to effectively translate analytical findings to business implications


- Ability to learn quickly and work independently with complex, unstructured initiatives 


- Excellent written/oral communication skills


Job type- Permanent

Industry Type - Operations

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