
Website The Foschini Group - TFG
Job Description:
The Merchandise & Supply Chain data science team provides strategic and tactical inputs across the full merchandising life cycle of our retail brands and considers the entire supply chain of merchandising. Our approach to this is heavily data-driven and involves in-depth use of advanced analytical techniques like machine learning, demand forecasting, clustering, simulation and mathematical optimization. This role would have a strong focus on understanding merchandise systems and the integration of analytical outputs into these systems.
Job Responsibilities:
- The querying of databases to quantify merchandise performance at the most detailed level.
- Contribute to the development and procurement of merchandise systems that embed advanced analytics / machine learning components.
- Critically evaluating merchandising decisions and looking for ways to drive data-driven decision making.
- Working closely with merchandise & supply chain stakeholders to ensure ongoing improvements in modeling approaches and output
- Effective communication and presentation of analytical results to different stakeholders.
- Ensuring appropriate statistical methodology and analytical techniques are applied to the modeling process to deliver and deploy robust and effective models.
- Improvement of the analytical assets (e.g. features) to ensure accuracy of models.
- Documentation of analytical processes and results, adhering to agreed documentation standards.
Job Requirements:
- Knowledge of the retail industry and merchandise life cycle management would be advantageous
- Experience with data mining and statistical techniques.
- Knowledge and experience in statistical software packages (SAS / Python / R)
- Hands-on experience of large-scale database data interrogation and manipulation (SQL)
- A B degree in a numerate discipline, preferably Statistics / Mathematics / Operations Research / Industrial Engineering / Computer Science (honor’s / master’s degree preferable)
- Experience in machine learning, clustering, demand forecasting
Job Details:
Company: The Foschini Group – TFG
Vacancy Type: Full Time
Job Location: Parow, Western Cape, SA
Application Deadline: N/A
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