Data Scientist III

Purpose Statement

• To deliver the AI strategy to ensure Capitec can compete in a changing landscape where data science is a key future-oriented strategic differentiator.
• To design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making. 

Education (Minimum)

Education (Ideal or Preferred)

Knowledge and Experience

Experience

Minimum

NB. Length of experience required is conditional on the qualifications obtained 

• Master’s degree or equivalent in a quantitative discipline or STEM field   e.g. Mathematics, Statistics, Engineering, Computer Science with focus on Machine Learning, plus 6yrs relevant experience
• Or equivalent

Or

• Honours Degree or equivalent and relevant technical qualifications, plus 8yrs relevant experience.
   
• Experience in data science, machine learning and deployment of developed solutions
• Business analysis and requirements gathering
• Reproducible coding experience 
• Working with relational and non-relational databases
• Experience in at least one ML language
• Working in cloud environments

Ideal

• Working with multiple teams to deliver predictive models into a production environment
• Stakeholder management at Executive and senior management level 

Knowledge

Minimum:

• Deep understanding of state of the art and emerging principles and techniques in at least one discipline of data science, e.g., NLP, Deep Learning etc. and can teach to a broad and wide technical audience.
• Underlying theory and application of machine learning models; able to understand underlying principles and theory and be able to teach others. 
• Familiarity with modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc).
• Best practices for data science. 
• Ethical AI design principles.

Ideal:

Capitec Data Science lifecycle 
Capitec Data Product Life Cycle

Skills

Additional Information