This entry-level Data Scientist role is perfect for someone eager to dive into the world of data and AI. You'll work closely with various teams to turn business challenges into data-driven solutions while gaining hands-on experience in data analysis and engineering.
Supportive and collaborative
In this role, you'll be part of a dynamic team in Pretoria, where your main focus will be on transforming business problems into actionable data solutions. You'll engage in exploratory data analysis to identify patterns and opportunities, which will help drive the company's decision-making processes. This position is ideal for someone who is passionate about data and eager to learn in a supportive environment.
Your daily tasks will include designing, building, and maintaining data pipelines that support various analytics and modeling use cases. You'll also be responsible for troubleshooting day-to-day data processing issues, ensuring that operations run smoothly. Collaboration is key, as you'll work closely with data engineering and AI platform teams to implement and productionize solutions effectively.
To succeed in this role, you should have a solid foundation in Python and be familiar with data analysis techniques. Experience with tools like pandas, NumPy, and machine learning libraries such as scikit-learn, PyTorch, or TensorFlow will be beneficial. Additionally, understanding ETL design and data processing will help you thrive in this position.
This entry-level opportunity is perfect for recent graduates or individuals looking to start their career in data science. If you're ready to dive into the world of data and contribute to meaningful projects, this could be the right fit for you.
You'll be taken to the original listing on PNet to apply.