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Principal Data Scientist

Vacancy Details

Reference No.



A prominent player in the entertainment industry is currently seeking an individual to assume the role of Principal Data Scientist. The successful incumbent will be responsible for identify opportunities to creatively use data to provide strategic and operational insights to the organisation, as well as Identifying new analytic trends, data needs and repeatable analytic solutions.


  • 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.
  • Provide Budgetary and Forecasting Support to the business.
  • Provide Direction to the business for Business Opportunities and Key Saving Initiatives.
  • Provide subject matter expertise in working with solution development team to define and implement data management, analytics and user interface.
  • Work with data engineers on the data formulation process which may include identification of attributes, exploratory data analysis, data transformation and temporal layouts.
  • Work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions.
  • Provide subject matter expertise in the review of data sources, decoding data inconsistencies and provide business logic for initiating data discovery.
  • Identify new data sources and evaluate emerging technologies for data discovery usage.
  • Clean and convert raw data into formats that can be used by other tools.
  • Carry out quality assurance testing to ensure the models deliver insights accurately.
  • Develop, test, implement and maintain analytical models.
  • Determine optimal modelling approach for each scenario.
  • Delve into complex data from systems to discover hidden relationships and useful information.
  • Perform hands-on text, quantitative, statistical, financial and operational analysis.
  • Apply best available practices for artificial intelligence and machine learning.
  • Use data and advanced statistical methods to generate new business insights.


  • Post Graduate Degree in Business and Quantitative field (Econometrics, Mathematics, Statistics, or Computer Science with emphasis in Statistics).
  • 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.
  • Understand how the products are developed and the ethical responsibilities associated with big data and customer privacy implications.
  • Understand how to integrate multiple systems and data sets - need to be able to link and mash up distinctive data sets to discover new insights.
  • Able to program in different programming languages e.g. Python, R, Java, Ruby, Clojure, Matlab, Pig or SQL.
  • Understand Hadoop, Hive and/or MapReduce etc.
  • Experience with Machine Learning and AI is an added advantage.
  • Proficiency working with visualisation tools e.g. R Shiny, Tableau etc.

Kindly note, if you have not heard from us within two weeks of your application please consider it unsuccessful.

Position Type


Work Level



Market Related


Information Technology

Salary Type



Cost To Company

Affirmative Action


Geographic Location

Gauteng - JHB North