Senior Data Scientist - Machine Learning Specialist
Benoni, 1501, South Africa
Listed on 2026-10-20
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), Data Analyst
About the Role
Our client, a pioneer in data-driven insights and artificial intelligence, is actively seeking a Senior Data Scientist with a specialization in Machine Learning. This exciting opportunity is based in Benoni, Gauteng, where you will lead the development and deployment of sophisticated machine learning models that drive business innovation. You will be instrumental in tackling complex analytical challenges, extracting valuable insights from vast datasets, and building predictive models that shape strategic decisions.
The ideal candidate will possess a strong theoretical foundation in machine learning algorithms, practical experience in applying these techniques to real-world problems, and a passion for staying at the forefront of AI advancements. Join a team of brilliant minds in Benoni and contribute to cutting-edge data science projects.
- Design, develop, and implement machine learning models for various business applications, including prediction, classification, and clustering.
- Analyze and interpret large, complex datasets to identify trends, patterns, and actionable insights.
- Collaborate with stakeholders to understand business needs and translate them into data science solutions.
- Evaluate and improve the performance of existing machine learning models.
- Develop and maintain robust data pipelines for model training and deployment.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex analytical findings and model results clearly to both technical and non-technical audiences.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- 5+ years of professional experience in data science and machine learning.
- Strong proficiency in programming languages commonly used in data science, such as Python or R.
- Extensive experience with machine learning libraries and frameworks (e.g., scikit-learn, Tensor Flow, PyTorch, Keras).
- Solid understanding of statistical modeling, data mining, and algorithm development.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Proficiency in SQL and experience working with various database systems.
- Excellent problem-solving, analytical, and communication skills.
- Our client offers a competitive salary, generous performance bonuses, and a comprehensive benefits package including medical aid and life insurance.
- Employees will enjoy access to state-of-the-art technology, continuous learning opportunities, and a collaborative work environment focused on innovation.
- This hybrid role offers flexibility, combining remote work with essential in-person collaboration at our Benoni offices.
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