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Data Scientist
Location: | Centurion |
Remote work: | Some remote work allowed |
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 is 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 the hypothesis can be built
- 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)
- A degree in either engineering, data science, statistics, computer science, or any other quantitative field
- 5-7 years of development experience in software and software engineering, financial services data processes, and technical business intelligence.
- 5-7 years’ experience 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.
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 09 Oct 12:15, Closing date 8 Dec
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