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      Data Scientist

      Remuneration:basic salary 
      Location:Johannesburg
      Education level:Diploma
      Job level:Mid
      Type:Permanent
      Reference:#NG58375
      Company:e-Merge IT Recruitment

      A client growing rapidly with international ambitions developing multiple valuable products in the areas of supplier risk, customer risk, and third-party risk management are on a recruitment drive for a data scientist to apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets.

      Responsibilities:
      • 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 Johannesburg offering a salary of up to R500,00- – R700,000 CTC salary negotiable based on experience. e-mail Nokuthula on e-Merge.co.za 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 www.e-merge.co.za for more great positions.

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

      Posted on 26 Mar 13:42, Closing date 25 May

      Apply by email

      Nokuthula
      nokuthulag@e-Merge.co.za

      Or apply with your Biz CV

      Create your CV once, and thereafter you can apply to this ad and future job ads easily.
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