Principal Data Scientist - Brackenfell, Cape Town at Shoprite Group of Companies

Job Objectives

• Lead the development of advanced analytics models, algorithms, and methodologies to derive value from data insights. 
• Select and implement the appropriate analytical tools, methodologies, and best practices to address business requirements effectively with the team. 
• Translate data-driven insights into actionable recommendations and strategies to optimise business processes, improve customer experience, and drive revenue growth. 
• Establish and enforce best practice standards for data science methodologies, processes, and tools. 
• Lead initiatives to drive innovation in data science techniques and technologies, continuously optimising processes to enhance efficiency and effectiveness. 
• Develop and provide guidance on advanced analytical models and algorithms to extract insights from complex data sets, supporting informed decision-making to deliver value for the Shoprite Group. 
• Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and stakeholders, to understand their analytical needs and challenges. 
• Act as a domain expert, sharing best practices and knowledge with data scientists, analysts, and cross-functional partners. 
• Partner with Shoprite Technology (i.e. platforms, architecture, engineering) to create fit-for-purpose data products and/or assets for business value delivery. 
• Implement efficient ways of work to collaborate, engage, share across the Data and Analytics capability.  
• Provide mentorship and coaching support to develop data scientists, fostering a culture of excellence, innovation, and professional growth within the team. 

Qualifications

• PhD (preferred) or Master’s Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems or a related field – (essential).  

Experience

• +8 years’ experience (if MSc.; 6+ if PhD) in a similar role, leading and solving complex business and technology problems through applying sophisticated data science techniques within a fast-paced environment – (essential). 
• Extensive experience applying machine learning, deep learning, data mining, modelling and mathematical and/or statistical concepts and methodology to support strategic business objectives – (essential). 
• Consistently demonstrated experience leading and developing others whilst taking ownership for project outcomes – (essential). 
• Experience delivering project outcomes using design thinking, lean and agile principles – (essential). 
• Experience in a retail environment – (highly desired). 

Knowledge and Skills

• Expertise in SQL, Python and data science toolkits – (essential).
• Strong proficiency in MS Office 365 with advanced Excel skills – (essential).