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Data Scientist Iii

3 months ago

Brackenfell, South Africa Shoprite Group Full time

**Purpose of the Job**:
**Job Objectives**:

- Contribute towards the development of Shoprite IT’s data strategy to deliver best-in-class analytics across the organisation.
- Work with business stakeholders to identify business requirements and model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions.
- Work closely with data and software teams to shape and enable deployment of fit-for-purpose, robust solutions that will scale across the company’s ecosystem.
- Develop, plan and prioritise data projects and delegate assigned roles and responsibilities for execution, weighing business and technical trade-offs as required.
- Lead the development of analytics-focused products, using machine learning, natural language processing, and mathematical / statistical techniques to develop powerful sciences that delivers business value and impact.
- Work with the data scientist team to define models to be created and implemented together with the approach for implementing them and monitor for accuracy, integrity and robustness.
- Support in defining data quality expectations and provide ongoing tracking and monitoring of performance of data systems and models.
- Perform sophisticated data preparation in order to reduce and shape data.
- Identify and manage data development challenges, offer suggestions, and deploy appropriate solutions.
- Communicate and present analytical findings, results and reports to senior stakeholders, using data visualisation techniques to tell compelling stories, while tying progress to enterprise goals.
- Evaluate new and emerging technologies from which to develop prototypes and proof of concepts.
- Act as a domain expert, sharing best practices and knowledge with data scientists, analysts and cross-functional partners.
- Provide support to data scientists on complex problems, integration of findings or presentation of results, requiring high-level expertise.
- Act in a technical leadership capacity, coaching and mentoring data scientists and new team members and supporting their growth and professional development.
- Stay updated on the latest research and developments in Data Science and adjacent fields to ensure the latest technology, techniques and methods are always applied

**Qualifications**:

- Bachelor’s Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems or a related field - (essential).
- Post Graduate Degree (preferably Masters) in the above or related fields - (highly desired).

**Experience**:

- Experience delivering project outcomes using design thinking, lean and agile principles - (essential).

**Knowledge and Skills**:

- Strong proficiency in MS Office 365 with advanced Excel skills - (essential).
- Experience in a retail, commercial or IT environment - (highly desired)
- Expertise in SQL, Python and data science toolkits - (essential).

**Applicant Feedback Policy**: