American Express - Business Analyst - Python/R (0-2 yrs) Gurgaon/Gurugram (Systems/Product Software)
American Express
1d ago
source :

Job Description : Function Description :

Function Description :

With a focus on digitization, innovation, and analytics, the Enterprise Digital Analytics (EDA) team creates central, scalable platforms and customer experiences to help markets across all of these priorities.

Charter is to drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of our business.

A unique aspect of EDA is the integration of diverse skills across all of its remit. EDA has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.

Purpose of the Role :

  • The candidate would be placed in Enterprise Digital and Analytics (EDA) in a Business Analyst role and would be required to work on Machine Learning & Research
  • Critical Factors to Success : Rapid experimentation in machine learning & deep learning space
  • Qualifications :

    Past Experience : 0-2 years of relevant experience Preferred : Experience in Machine Learning & Artificial Intelligence

    Academic Background : Post Graduate in Statistics / Mathematics / Economics / Skills / Capabilities :

  • Expertise in Supervised & Unsupervised Machine learning. Working knowledge of Decision Trees, GBDT, Xgboost, Random Forest, Logistic Regression, KNN, Matrix Factorization, PCA, KMeans, Hierarchical Clustering.
  • Experience in deep learning is a plus.

    Technical Skills / Capabilities : Python, R, Unix, Hadoop Map Reduce, PySpark, Hive / Pig, SQL

    Knowledge of Platforms :

    Behavioral Skills / Capabilities :

    Enterprise Leadership Behaviors :

  • Set The Agenda : Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
  • Bring Others With You : Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
  • Do It The Right Way : Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands
  • Apply
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