Job Description

Purpose of the Job

As Shoprite Financial Services continues to scale, the demand for high-quality, timely data outputs, focused on unlocking value through predictive modelling, dashboards and insight generations across key products. The role is essential to maintaining continuity, delivering against our data strategy and enabling the business to continue building the foundations of a data-driven organisation. Supporting the team to transform and model data sets that provides valuable insights to the business while contributing towards leveraging data as a competitive advantage for Shoprite. Assists the Data Science team in using data-driven techniques to solve business problems, applying scientific methods, and communicating results to different audiences. The Data Scientist has a passion for developing their skills in the art of Data Science, requiring a combination of technical, analytical and communication skills to infer meaning from data and translate these in a concise and cohesive story.

Job Objectives

Under the guidance of the Data Scientist Lead / Team Lead, work with business stakeholders to identify business requirements and model and frame business scenarios that are meaningful and that answers business questions. Work closely with data and software teams to translate business requirements into fit-for-purpose, robust and scalable solutions. Develop, validate, and execute basic algorithms and predictive models to collect, merge, analyse, extract and interpret large datasets. Use data to investigate problems, detect patterns and extrapolate insights. Develop data structures and pipelines to organise, collect and standardise data. Perform data preparation in order to reduce and shape data. Clean and validate data and assure its integrity, accuracy, completeness, and uniformity. Test data mining models to select the most appropriate one for use on a project. Adhere to stringent quality assurance and documentation standards using version control and code repositories. Cross-validate models to ensure their generalizability. Assess the effectiveness of data sources and data-gathering techniques to improve data collection.
methods.

Qualifications

Degree or Diploma in Computer Science, Statistics, Mathematics, Engineering, or a related field - (essential).

Experience

+3 years' experience in a Data Scientist or similar role - (essential). Experience in Data modeling & Dashboards - (essential). Experience in a retail, commercial or IT environment - (desired).

Knowledge and Skills

Working knowledge of SQL, Python, Low code, Tableau, and data science toolkits - (essential). Proficiency in MS Office 365 with well-developed Excel skills - (essential). Exposure to delivering project outcomes using design thinking, lean and agile principles - (desired).

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