Data Scientist

Human Resources Officer @ Pepkor Lifestyle Job Purpose

As a Data Scientist at Pepkor Lifestyle, you will play a crucial role in analysing and interpreting complex data sets to inform business decisions and strategies. The ideal candidate has excellent analytical abilities, a deep understanding of statistical modelling, and the ability to communicate insights effectively to non-technical stakeholders.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics or a related field.
• Proven experience as a Data Scientist with a strong portfolio of projects.
• Proficiency in programming languages such as Python or SAS.
• Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch, scikit-learn).
• Strong understanding of statistical concepts and methodologies.
• Excellent data visualization skills using tools like Tableau, Power BI, or Matplotlib.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent communication skills with the ability to convey complex findings to both technical and non-technical stakeholders.
• Strong problem-solving and critical‑thinking skills.
• Experience with SQL and relational databases.

• Utilizing advanced analytics techniques to analyse large, complex datasets and extract meaningful patterns and trends.
• Developing and implementing statistical models to predict and optimise business outcomes.
• Applying machine learning algorithms to solve business problems, including classification, regression, clustering, and recommendation systems.
• Creating compelling visualisations to communicate insights and findings to both technical and non-technical audiences.
• Working closely with cross‑functional teams, including business analysts, data engineers, and software developers, to understand business requirements and objectives.
• Cleaning, pre‑process, and wrangle raw data into a usable format for analysis.
• Designing and analysing experiments to test hypotheses and optimise business processes.
• Staying updated with the latest advancements in data science and technology to bring innovative solutions to the team.

Mid‑Senior level

Full‑time

Information Technology

Retail