Data Scientist - KFC

eg. Accountant or Accounting or Kempinski



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Data Scientist - KFC





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1. Patiently scroll down and read the job description below.

2. Scroll down and find how to apply or mode of application for this job after the job description.

3. Carefully follow the instructions on how to apply.

4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.


This role will work cross-functionally, in partnership with the Digital, Operations and Marketing teams to successfully apply and quantify data. The role will entail mining and analysing large data sets using data science techniques, to deliver appropriate outcomes for the business, whether analysis, modelling and/or recommendations. 

Key Requirements:

  • Business Partnering - Partner with the eCommerce Director in defining the data foundation, and supporting technology and processes
  • Data - Uses methodical Data science techniques to select and tune algorithms and quantify performance in a business relevant way
  • Story telling - Tell engaging stories using non-technical language and visualizations to influence change
  • Experiments - Setup and execute experiments to quantify the performance of algorithms in both digital and physical domains
  • Stakeholder Management - Work with multiple stakeholders to understand the business problem and translate into deliverables
  • Project Management - Work across a range of projects leveraging advanced techniques that include, but aren’t limited to predictive analytics from CRM, customer propensity modelling, audience segmentation


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Requirements

Qualifications:

  • BSC/BA or Masters in a numeric discipline

Experience:

  • Min of 5 years’ experience in a data science role,
  • with a min 3yrs programming in python, R
  • Highly numerical and analytical mind set

Skills/Competencies:

  • Previous cloud experience in technologies such as AWS or Azure
  • Proficient with SQL databases
  • Experience in using Python, or R
  • Proficiency in using programming languages
  • Ability to work with both structured and unstructured data
  • Expert in mining large data sets
  • Experience with ETL tools
  • Proficiency in setting up and maintaining data visualizations dashboards using tools such as Power BI


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