Data Scientist Kzn

RESPONSIBILITIES

• Apply Machine Learning, Optimisation and AI techniques to our data with the aim of improving our business.
• Improve our business through analyses and hypotheses testing.
• Communicate insights, results and analyses to stakeholders.
• Promote and facilitate data-driven business decisions.
• Building relationships & gaining deep knowledge of the Mr Price business

• A degree in a quantitative field such as Statistics, Math, Computer Science, Physics or Engineering
• 0-5 years’ experience in a data science, software development or quantitative analysis role.
• The skills below are preferred but not required. We expect more experienced candidates to tick more of these boxes and the successful candidate will learn all of these during their career at Mr Price.
  • Python or R, using libraries like Pandas, Num Py, Scikit-learn, tidyverse, etc
  • SQL, Relational DBMS and data modelling – to source and transform your inputs and save and explore your outputs.
  • Exploratory Data Analysis skills – to explore and understand your data.
  • Applied statistics or machine learning methods e.g. Neural Networks, Decision Trees, Time Series Analyses, Clustering, Regression, Deep Learning.
  • Optimisation Techniques e.g. Linear Programming, Genetic Algorithms, Simulated Annealing
  • Big Data processing platforms like Spark
  • Data Visualisation tools e.g. Excel, Power
    
    BI, Tableau.
  • Responsible software engineering practices e.g. Version Control (git), Design Patterns, Reproducability, Deployment etc.
  • Experience LLMs and GenAI – to leverage advanced AI techniques for innovative solutions.