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Principal Data Scientist

Remuneration:R1000000 - R1400000 per month negotiable Cost to company 
Location:Johannesburg, Randburg
Education level:Degree
Job level:Senior
Type:Permanent
Reference:#GZ42233-2018
Company:E-Merge IT Recruitment


Job description

One of Africa’s leading entertainment businesses based in Randburg require a principal level data scientist with advanced technical skills. Your role in short will be to identify opportunities to innovatively use data to provide strategic and operational insights to business. Identify new analytic trends/data needs and repeatable analytic solutions.

This is an environment focusing on technology as a means to deliver core services; they are invested and believe in technology as the answer to business problems and therefore your role becomes a vital part of that cycle.

It’s time to enhance your career and join a company that encourages free and innovative thinking in terms of development modules, and work spans across platforms/technologies. The amount of exciting work that’s lined up is unbelievable! Apply now!

Responsibilities:
  • Oversee the delivery of accurate and data
  • Ensure effective data management approach that ensures accuracy of data
  • Build effective corrective action mechanism on the analysed data and reports provided
  • Follow the appropriate processes to ensure quick and correct action is taken in query resolution
  • Anticipate and identify new analytic trends/data needs and repeatable analytic solutions
  • Identify opportunities to innovatively use data to provide strategic and operational insights to business


Requirements

  • A minimum of 10 years of relevant data experience and experience building segmentation and propensity models
  • Statistical, mathematical, predictive modelling, forecasting and business strategy skills
  • Able to build the necessary algorithms to ask the right questions and find the right answers
  • Able to communicate their findings, orally, and visually
  • Have an understanding of how the products are developed and the ethical responsibilities associated with big data and customer privacy implications
  • Able to program in different programming languages e.g. Python, R, Java, Ruby, Clojure, Matlab, Pig, or SQL
  • Experience with machine learning and AI is an added advantage
  • Have an understanding of Hadoop, Hive and/or MapReduce, etc.
  • Proficiency working with visualisation tools e.g. R Shiny, Tableau, etc.
Qualifications
  • Relevant tertiary qualification in engineering or computer science.


Posted on 05 Dec 10:09

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Garth Zoutendyk

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