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e-Merge IT Recruitment Recruitment Profile
e-Merge is a dynamic, niche recruitment company, specialising in sector specific recruitment within the IT industry with both a national and international presence. We only recruit within our specialized fields to remain focused and knowledgeable of our industries.
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Data Scientist

Remote work:Some remote work allowed
Company:E-Merge IT Recruitment

Our client is growing rapidly with international ambitions, developing multiple valuable products in the areas of supplier risk, customer risk, and third-party risk management. They are currently on a recruitment drive for a talented data scientist to join their team.

  • Ability to do routine data cleaning and analysis tasks
  • Identify patterns and correlations in data from which hypothesis can be build
  • Ability to turn data insights into practical actions resulting in improved results
  • Data visualisation
  • Modify rule-based scorecards, frameworks and algorithm tuning
  • Expose models and scorecards to other systems (API/Queue)
  • Schedule analytical activities (automation)
  • Ability to identify the most relevant modelling approach based on the type of problem and available data (logistic regression, random forest, etc)
  • Ability to train and maintain models
  • Data cleaning and pre-processing (size, data distribution, imputation, removing outliers, etc)
  • Ability to do feature engineering towards specific predictable targets (not just including raw data)
  • Experience in correctly applying model performance approaches in the context of the training approaches taken (classification Models, Confusion Metrix, etc)
Qualifications and experience:
  • A degree in either engineering, data science, statistics, computer science, or any other quantitative field
  • 5-7 years development experience in software and software engineering, financial services data processes, technical business intelligence.
  • 5-7 years’ experience of working with unstructured data (e.g., streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
  • Advanced statistical/machine learning with applications in the financial technology sector.
  • Natural language processing.
  • Demonstrated ability to implement dimensional modelling methods (SCD, Fact Tables, Schemas, etc)
  • Experience with common data science toolkits, such as SAS, R, SPSS, etc
  • Knowledge of IT infrastructure and data principles. Project management experience
  • Experience with data visualisation tools, such as Power BI, Tableau, etc.
The reference number for this position is NG58375 which is a permanent hybrid position in Centurion offering a salary of up to R500,000 – R700,000 CTC salary negotiable based on experience. E-mail Nokuthula on az.oc.egreM-e@galuhtukon or call her for a chat on 011 463 3633 to discuss this and other opportunities.

Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the E-Merge IT website for more great positions.

Do you have a friend who is a developer or technology specialist? We pay cash for successful referrals!

Posted on 10 Jun 10:53, Closing date 9 Aug


Nokuthula Gumbo

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