Data Scientist

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 000.00 – R700 000.00 TC 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.

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Posted on 30 Jan 08:48, Closing date 31 Mar