Principal Data Scientist

2 weeks ago

Brackenfell, South Africa Shoprite Group Full time

**Purpose of the Job**:
The Principal Data Science Lead is responsible for providing strategic input in the data science capability to unlock value through actionable insights to support decision-making across Shoprite Group. Your primary objective will be to implement best practice knowledge, methodologies, fit-for-purpose tools, and ways of work across the group to ensure that our data science efforts are aligned with organisational objectives and industry standards. You will lead initiatives and inspire teams to drive innovation, optimise processes, and unlock actionable insights from data to support decision-making.

**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**:

- 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).

**Applicant Feedback Policy**:

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