Data Scientist

Pepkor Lifestyle; Sandton; On-site; ZAR 600,000 - 800,000; Full time

Job summary

A leading retail company is seeking a Human Resources Officer to analyze complex data sets and inform business strategies. The ideal candidate must have a Master's or Ph.D., experience in data science, and proficiency in relevant programming languages like Python. Responsibilities include data visualization, statistical model development, and collaboration with cross-functional teams. This full-time role offers a mid-senior level opportunity in Information Technology.

Qualifications

• Proven experience as a Data Scientist with a strong portfolio of projects.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Experience with machine learning algorithms.

Responsibilities

• Utilizing advanced analytics techniques to analyse large, complex datasets.
• Developing and implementing statistical models to optimize business outcomes.
• Creating compelling visualisations to communicate insights.

Skills

Analytical abilities

Statistical modelling

Programming in Python

Machine learning frameworks

Data visualization skills

SQL and relational databases

Communication skills

Problem-solving skills

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics

Tools

Python

SAS

TensorFlow

scikit-learn

Tableau

Power BI

Matplotlib

Hadoop

Spark

Job description

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.

Minimum qualification and Experience

• 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., TensorFlow, 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.

Position outputs/competencies

• 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Retail