Data Scientist - Machine Learning

Our client is seeking a talented and innovative Data Scientist specializing in Machine Learning to join their advanced analytics team in Durban . You will be responsible for developing and implementing sophisticated machine learning models to extract actionable insights from large, complex datasets. This role requires a deep understanding of statistical modeling, predictive analytics, and algorithm development. You will work closely with business stakeholders to identify opportunities, define problems, and deliver data-driven solutions that enhance product offerings and drive business growth.

This is an exceptional opportunity to contribute to cutting-edge AI initiatives in a collaborative and research-oriented environment.

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
• Perform data exploration, cleaning, and feature engineering on diverse datasets.
• Evaluate model performance, conduct A/B testing, and iterate on models for continuous improvement.
• Translate complex analytical findings into clear, concise recommendations for business stakeholders.
• Collaborate with data engineers and software developers to integrate ML models into production systems.
• Stay abreast of the latest advancements in machine learning and artificial intelligence research.

• PhD or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years of experience in applying machine learning techniques to solve real-world business problems.
• Strong proficiency in Python or R, including libraries like scikit-learn, Tensor Flow, and PyTorch.
• Solid understanding of statistical concepts, experimental design, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL is essential.
• Excellent communication and presentation skills, with the ability to explain complex models to non-technical audiences.

• Competitive salary with comprehensive performance incentives.
• Generous health insurance plan and wellness programs.
• Support for continuous learning, including funding for courses and conferences.
• Access to state-of-the-art computing resources and datasets.
• Be part of a pioneering team shaping the future of data-driven decision-making.