Job summary

Job Ref:
BEE Position:
Durban, South Africa, Africa
Job type:
Full time

Data Scientist

* There has been 1 Application for this position
* This job opening has been viewed 287 times
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About this job

Our client is seeking a candidate with a “Can do” attitude, who has business savvy and action-orientated. Support the future strategic vision and purpose of the group and solutions ranging from media, print, creative design, proprietary technology, traditional and digital advertising. Degree in (Engineering/ Actual Science’s/ Statistics/ Mathematics) is essential coupled with 7-10 years’ extensive database experience with Microsoft SQL 2008 upwards.

The role entails expertise in extracting and/or collecting information from various sources. Involves the distribution and/or communication of data/information, analysing data for better understanding about how the business performs, how the company leverages data between the group of companies and how they add value to products and services they deliver to their clients in the future.

Key Result Areas:

  • The development of data requirements for business systems and data requirements that support digital products and services throughout the group.
  • Designing and leading development operations in building Managed Data Services & integrating business systems.
  • Supervise or directly write, translate, and code data management and analytics programs, algorithms and applications according to specifications.
  • Administer critical analysis of test results and deliver solutions to problem areas.
  • Generate statistics and prepare and write reports for management and/or team members on the status of the data science processes.
  • Write programming scripts to enhance functionality and/or appearance of web applications as necessary from either a data integration perspective or business intelligence perspective.
  • Conduct research on data science related technologies, languages, and standards in support of the development efforts for future investments.
  • Liaise with IT, business analysts, software developers & digital teams to assist in resolving problems with products or company solutions.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner.
  • It is important to not just be familiar with the tools necessary to visualise data, but also the principles behind visually encoding data and communicating.
  • Manage relationships with subject matter experts to make sure data is accurate.


Skills Required


  • Degree in (Engineering/ Actual Science’s/ Statistics/ Mathematics) is essential.

 Essential Experience and Skills:

  • 7-10 years’ extensive database experience with Microsoft SQL 2008 upwards.
  • Experience in programming languages and platforms, including .Net, C/C#, SQL, HTMS, CSS, Java, PHP, Python, code repositories.
  • Basic understanding of platforms such as XML and Entity Framework, knowledge of N-Tier development will be an advantage.
  • A good understanding of statistics is vital as a data scientist.
  • Experience in software development life cycle development methodologies (e.g. Agile).
  • Basic knowledge of system integration development, API development, web services creation and utilisation.
  • Working knowledge of public cloud platforms (Microsoft, Oracle, Amazon, Google).
  • Working knowledge of Salesforce would be an advantage.
  • Natural Language Processing: the interactions between computers and humans.
  • Machine learning: using computers to improve as well as develop algorithms.
  • Conceptual modelling: to be able to share and articulate modelling (UML, Enterprise Architecture, and Simulation Modelling).
  • Predictive modelling: most of the big data problems are towards being able to predict value creating future outcomes.
  • Integrated System Behavioural Modelling for system data requirements for various business projects.
  • Hypothesis testing: being able to develop hypothesis and test them with careful experiments. (Statistical, Operations Research, System Dynamics and Theory of Constraints)
  • Business Systems Data integration.

Due to a very high number of applications we are unable to respond to every candidate with feedback. If you do not hear from us within 7 days, please assume that you have been unsuccessful on this occasion. Please keep checking our website as new roles will be updated regularly. Pollock & Associates wishes you all the best in your search for a new career opportunity.

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