• American Express - Research Scientist/Senior Research Scientist Jobs in Bangalore,India - 24759861

  • American Express
  • Save Job
  • 2 - 3 Years
  • Posted : above 1 month

Job Description:

Why American Express?

- Theres a difference between having a job and making a difference

- American Express has been making a difference in peoples lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards

- We- ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community And when they- re ready to take on a new career path, we- re right there with them, giving them the guidance and momentum into the best future they envision

Function Description

- Global Servicing Network (GSN) delivers extraordinary customer care to Card Members, merchants and commercial clients around the world, while providing world-class credit, collections and fraud services

- Network Engineering & Optimization and Capabilities team are part of Global Strategy & Support (GSS) group and they enable GSN to deliver best in class customer experience through

- Providing functional expertise and ongoing support to operations and cross functional initiatives

- Maintaining and continuous improvement of GSN processes & infrastructure

Purpose of the Role

- Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for deploying Machine Learning models


- Prototype and simulate use cases for Machine learning basis the GSN operating environment and ability to operationalize into workable algorithms & solutions

- Rigorously test algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business

- Deploy models in production environment and regular maintenance of production variables like Lift, Support, Confidence and continuous bootstrapping of sample cases for revalidation of results

- Write, debug and compile codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, R Spark etc


Critical Factors to Success

Business Outcomes

- Create & deploy efficient models within servicing function through data analysis and developing valuable insights

- Drive modelling accuracy (Gini, Concordance, F-Score, etc) while deploying predictive/prescriptive models and enabling rigorous testing

- Boost innovation in modeling techniques and variable creation while solving business problems by staying abreast with new age technologies and bringing in an external perspective

- Collaborate with business & internal stakeholders to identify opportunities of deploying models

Leadership Outcomes

- Put enterprise thinking first, connect the roles agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders

- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings

- Demonstrate learning agility, make decisions quickly and with the highest level of integrity

Past Experience

2-3 years of experience with knowledge of

- Machine Learning tools & skills

- Coding especially Python & one of the database languages

- Exposure to IDEs like Jupyter, Distributed, Cluster computing

Academic Background

- Tier 1 Engineering (IIT/BITS/NIT), Masters in Statistics or Computer technology, PhD in Engineering/Statistics

Functional Skills/Capabilities

- In-depth knowledge of business/ servicing processes across card member life-cycle

- Understanding of drop off & pick up points for a customers journey

- Knowledge of nice recordings

Technical Skills/Capabilities

- Pattern recognition

- Text mining

- Sentiment analytics

- Statistical modelling

- Machine Learning algorithms

- Data presentation & visualization

- Basic understanding of new age technologies

Knowledge of Platforms

Python tools Pandas, Numpy, Scikit, NLTK, Gensim, H20, Keras

- R, Python, Hadoop, Hive, Spark, Pyspark, SQL

Job type- Permanent

Industry Type - Operations

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Profile Summary:

Employment Type : Full Time
Salary : Not Mentioned
Deadline : 02nd May 2020

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