Data Scientist Level 2
Johannesburg - South Africa
Job Summary
Were looking for a Data Scientist - Level 2 who is ready to take ownership solve problems independently and contribute meaningfully to project delivery.
As a Data Scientist - Level 2 youll operate as an independent contributor working across multiple problems within a project and delivering high-quality outputs with minimal supervision.
Key responsibilities:
- Own and deliver multiple data science work-streams within projects.
- Perform exploratory data analysis (EDA) to uncover insights and guide modelling.
- Design build and evaluate machine learning models.
- Perform feature engineering and data preprocessing at scale.
- Translate business problems into structured analytical solutions.
- Write clean scalable and well-documented code.
- Validate and interpret model results communicating findings clearly.
- Collaborate with engineers product teams and stakeholders.
- Contribute to solution design discussions.
- Support and guide junior team members where needed.
- 13 years of experience in data science machine learning or a related field.
- Strong programming skills in Python.
- Solid understanding of machine learning and data science fundamentals.
- Experience with tools such as Pandas NumPy Scikit-learn.
- Exposure to PyTorch or TensorFlow (advantageous).
- Ability to work independently across multiple tasks.
- A STEM degree (BSc minimum; strong academic performance preferred).
Required Skills:
Strong programming skills in Python. Solid understanding of machine learning and data science fundamentals. Experience with tools such as Pandas NumPy Scikit-learn. Exposure to PyTorch or TensorFlow (advantageous). Ability to work independently across multiple tasks. A STEM degree (BSc minimum; strong academic performance preferred).
Required Education:
Bachelors Degree (BSc BEng BCom Honours BSc Honours MSc or equivalent) in: Data Science Computer Science Statistics Mathematics Engineering Actuarial Science Physics Or another quantitative STEM discipline Excellent academic record throughout university studies Degree obtained from a recognised and reputable university or higher education institution Strong results in mathematics statistics machine learning programming or related quantitative subjects