Senior Data Scientist - Ai & Machine Learning

Showing 1 Statistical Modeling jobs in South Africa

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full-time

Our client, a leading innovator in scientific research and development, is seeking a highly skilled and experienced Senior Data Scientist to join their dynamic team in Midrand, Gauteng . This pivotal role focuses on leveraging cutting-edge AI and machine learning techniques to drive groundbreaking discoveries and develop advanced solutions. You will be instrumental in shaping the future of our client's research initiatives, working with complex datasets to uncover hidden patterns and build predictive models.

This is an exceptional opportunity for a motivated individual to make a significant impact in a collaborative and intellectually stimulating environment, contributing to projects that push the boundaries of scientific knowledge. The role offers a blend of on-site collaboration and remote flexibility, fostering a productive and engaging work experience in the heart of Gauteng's innovation hub.

• Develop and implement sophisticated machine learning algorithms and statistical models to analyze large-scale scientific datasets.
• Design, build, and maintain data pipelines for efficient data extraction, transformation, and loading.
• Collaborate closely with research scientists and engineers to understand project goals and translate them into data-driven solutions.
• Perform rigorous data validation and quality assurance to ensure the accuracy and reliability of analytical results.
• Present complex findings and insights clearly and concisely to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in AI, machine learning, and data science, and apply them to novel research challenges.
• Contribute to the development of intellectual property and publish research findings in relevant scientific venues.
• Mentor junior data scientists and contribute to the team's overall technical growth.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on AI and machine learning.
• Proven expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., Tensor Flow, PyTorch, Scikit-learn, Pandas, Num Py).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Excellent problem-solving skills and the ability to tackle complex, ambiguous challenges.
• Demonstrated ability to communicate technical concepts effectively, both verbally and in writing.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Familiarity with scientific research methodologies and the ability to work in a research-intensive environment.

Our client offers a competitive salary package, comprehensive health and wellness benefits, generous paid time off, and opportunities for professional development and continuing education. Employees benefit from a stimulating work environment, access to state-of-the-art research facilities, and the chance to collaborate with world-class scientists. The hybrid work model provides flexibility, balancing the benefits of in-office collaboration with the convenience of remote work.

Relocation assistance may be available for qualified candidates. Join a company that values innovation, collaboration, and employee growth.