Data scientist to build smart pricing tool

This project will require you to work in a multi-disciplinary team at one of the largest telecommunications organisations in the Asia-Pacific region. You will be working alongside consultants from A.T. Kearney and senior management at the client to successfully deliver a predictive model that will generate smarter pricing recommendations using the following available data:

Examine, generate and interpret JMP results and make recommendations.

We are conducting a case study on AT&T Wireless. You will be provided a file which contains data from a survey conducted by AT&T to study the possible reasons why customers might be leaving its wireless services. There are mandatory steps needed to fulfil in order to complete this project. Therefore, you are expected to be or have:

– Access to JMP software

– Proficient in JMP software

– Skilled in Data Analysis

– Fluent in English language