American express off-campus drive 2022| analyst|B.E/B.Tech/M.E/M.Tech/MCA/MSC|7LPA

American express off-campus drive 2022|2022/21/20/19/18|analyst|B.E/B.Tech/M.E/M.Tech/MCA/MSC|7LPA|banglore,gurugram

About company :

  • American Express Company is an American multinational corporation specialized in payment card services headquartered at 200 Vesey Street in the Battery Park City neighborhood of Lower Manhattan in New York City. The company was founded in 1850 and is one of the 30 components of the Dow Jones Industrial Average.

About role :

  • The candidate would be placed in CFR Global Decision Science & Data Strategy in an Analyst role and would be responsible for coming up with Data science backed solutions to optimize acquisitions from Media channel (via People based marketing) and Partner channels (cobrand acquisitions). Experience in business application of ML/AI techniques is needed. Understanding of digital channel targeting is good to have.

American express recruitment 2022 :

  • Company – american express
  • Role – analyst
  • Salary – 7 LPA
  • Location – banglore, gurugram
  • Experience – 0-2 years
  • Batch – 2022 /2021 /2020 /2019 /2018
  • Qualification – B.E /B.Tech /M.E /M.Tech /MCA /MSC
  • Industry – IT

ALSO APPLY FOR :

Responsibilities :

  • Devise, design & develop cutting edge, customized machine learning algorithms
  • Leverage the power of closed loop through Amex network to make offer targeting more intelligent and relevant
  • Innovate with a focus on developing newer and better approaches using big data & machine learning solution
  • Stay current in their field and up to date with the latest data science, machine learning, business statistics, algorithms and data mining practices
  • Understand and have a passion for trends in digital marketing, social, location and mobile based marketing efforts
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Skills required :

  • Having proficiency in Python is essential
  • Exposure to distributed scripting languages like Pyspark / Hive is a plus.
  • Advanced Statistical Techniques: Gini, Concordance, F-Score
  • Preferred:
    • Knowledge of tree-based algorithms like XGBoost, LightGBM, CatBoost and Random Forests
    • Knowledge of Digital Channels & Products
    • Expertise in High Performance Computing
  • Hadoop/Spark
  • Big Data – Cornerstone

Eligiblity criteria :

  • Bachelor’s/Master’s Degree in Statistics, Mathematics, Engineering, Economics, Business Administration, or related fields from Premier Institutes only
  • 0-2 years’ experience in Analytics, Data Science, Machine Learning, or related fields

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