• Data Scientist at The Shoprite Group of Companies

  • Posted on: 20 December, 2017 Deadline: 27 December, 2017
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  • The Shoprite Group of Companies, Africa's largest food retailer, operates 2,653 outlets in 15 countries across Africa and the Indian Ocean Islands and reported turnover of R71.297 billion for the six months ended December 2016.
    The Company's headquarters are situated in the Western Cape province of South Africa. Shoprite Holdings Ltd is a public company listed on the JSE Limited, with secondary listings on both the Namibian and Zambian Stock Exchanges. Its ownership therefore lies in the hands of its shareholders.
    Shoprite Holdings Ltd comprises the following entities: the Shoprite Checkers supermarket group, which consists of 601 Shoprite supermarkets; 205 Checkers supermarkets; 37 Checkers Hypers; 359 Usave stores; 512 Furniture outlets (inlcuding OK Furniture, OK Power Express, OK Dreams , House & Home) 194 Hungry Lion fast food outlets; 161 MediRite pharmacies and 368 LiquorShops. It has a ticketing business, Computicket, which operates from counters within Group stores and various free-standing outlets. Through its OK Franchise Division, the
    Group procures and distributes stock to OK MiniMark convenience stores; OK Foods supermarkets; OK Grocer stores; Megasave wholesale stores; OK Value stores; Sentra stores and buying partners, as well as Friendly supermarkets; Friendly Liquor stores; OK Express and OK Liquor stores.
    Its primary business is food retailing to consumers of all income levels, with the goal to provide all communities in Africa with food & household items in a first-world shopping environment, at the Group's lowest possible prices. At the same time the Group, inextricably linked to Africa, contributes to the nurturing of stable economies and the social upliftment of its people.

    Data Scientist

     

    Job description

    Role Summary

    Build novel new applications to enable and assist data-driven decision making in Shoprite’s retail operations using advanced data science techniques. Areas of focus includes but is not limited to behaviour prediction, image recognition and natural language processing. These new applications are typically high profile and have an impact on revenue generation and cost reduction.
    Shoprite is focused on customer service and operational efficiency. There is a rapidly increasing demand for scientific methods to apply to business practices to support this. This role is essential in growing the data science capability required to meet this need.

    We are looking for a candidate who has:

    • Post graduate science degree in Data Science, Mathematics, with computer science major, or Computer Science, with mathematics major.
    • 5 years experience in customer and/or retail analysis
    • 5 years experience in Customer and/or retail data science experience with focus on neural networks while building and putting into production applications that leverage these models

    2 years experience in at least three of the following:

    • Customer behaviour prediction
    • Assortment optimisation
    • Customer driven marketing
    • Supply chain analytics
    • Recommendation engines
    • Image recognition
    • Natural Language
    • Digital assistants

    Key Performance Areas includes:

    • Lead the requirements discovery process in a retail environment
    • Seek out, explore and manage data relevant to the requirements
    • Create models using data science techniques, particularly focusing on neural networks
    • Own the development of a complete application that exploits the model
    • Own the process of deploying the data science application and gaining its acceptance by the business
    • Own ongoing quality of the solution in terms of data, model and performance

    Method of Application

    Interested and qualified? Go to The Shoprite Group of Companies career website on shoprite.erecruit.co.za to apply

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