Data Scientist at The Shoprite Group of Companies

Job description

We are looking to add a great new talent to our IT team. If you have an in-depth knowledge of data mining models, structures, theories, principles and practices and expert knowledge of at least three of the following:

• Decision trees
• Association rules
• Neural networks
• Association rules
• Clustering and you are committed to quality, then join our drive to develop support to Shoprite efforts to increase the level of science it applies to its business practices in order to optimise profits in its mature markets. Initially the focus will be on optimising Shoprite’s relationship with its customers.

The Purpose Of The Position Is

To take a hands-on role in examining internal and external data to help improve revenue generation, reduce costs and operational performance through data analysis and where appropriate the creation of sophisticated algorithms or models.

Educational & Experience Requirements

• Hons or Master’s of Science (Msc) Degree in Statistics or other data mining related discipline (Mathematics, Operations Research)
• 5 years experience in customer and/or retail analysis
• 5 years experience in customer and/or retail data mining (statistical using R) with experience of deploying models in an operational environment
• 2 years experience in at least three of the following:
• Assortment optimisation
• Customer driven marketing
• Forecasting
• Supply chain analytics
• Clustering
• Marketing mix modelling
• Price optimisation
• Product recommendation
• Fraud detection
• Workforce analytics

You Will Be Required To Do The Following

• Understand best practices in data mining and business statistics for retail.
• Define models to be created and implemented together with the approach to implementing them.
• Explore data and create descriptive and predictive models in cycles.
• Put models into production, monitor for accuracy and robustness and where appropriate implement a retraining approach for models.