Data Scientist at AES Africa

Job Role:

This is a unique opportunity to join on of South Africa’s most highly regarded and successful household names within the Retail sector. This client is highly ambitious, and hugely successful – this company offer incredible growth opportunities, and exposure to cutting edge technologies and strategy.

• This client is at the forefront of building an unrivalled Data Science function for the FMCG industry. In this role you will be required to understand best practices within data science and key business statistics for the retail sector.
• You must be experienced in defining models, from creation to implementation. You will also be managing the roll out of this.
• Handling data explration, creating descriptive and predictive model cycles
• You will develop and deploy robust, accurate models, managing retraining for models where needed if underperforming.
• You will have the freedom to evaluate and select technologies for use within the Data Science function.
• There is the opportunity to develop in the role, growing your Building expertise - as well as daily use of the in house data and customer personalisation tools, creating highly targeted and innovative customer experience solutions through multi-channels.
• Understand the impact of our personalised strategy and digital activity working with our partners to constantly improve our results
• You will be commercially aware, demonstrating a clear understanding of the Group's customer base. This will be critical for insights, as theaim to provide a highly personalised customer's experience.

Qualifications:

• Hons or Master’s Degree in Computer Science, Data Science, Statistics or other quantitative discipline (Mathematics, Operations Research).

Experience:

• 5 years experience in customer, rewards
• 5 years retail analysis and data science (statistical using Python)
• Must have experience of deploying models in an operational environment

2 years experience in at least 3 of:

• Customer-driven marketing
• Product recommendation
• Workforce analytics
• Assortment optimisation
• Supply chain analytics
• Forecasting and predictive analysis
• Marketing mix modeling
• Price optimisation
• Fraud detection
• Clustering

Knowledge and Skills:

• SQL - acquiring and transforming data.
• 2 years Strong understanding of data science models, structures, theories, principles, and practices
• Experience with analytical programming languages (e.g. Python) or other machine learning, statistical or mathematical software.
• Knowledge of working with cloud platforms and tools, particularly AWS

2 years Expert knowledge of at least three of the following:

• Association rules
• Neural networks
• Association rules
• Clustering
• Decision Trees