Senior Data Scientist - AI & Machine Learning

Our client is actively recruiting a visionary Senior Data Scientist to spearhead their Artificial Intelligence and Machine Learning initiatives in Rustenburg . This role is crucial for developing predictive models, advanced algorithms, and data-driven solutions that will transform business operations and product development. You will work with vast datasets, employing sophisticated analytical techniques to extract actionable insights and drive strategic decision-making.

This is a prime opportunity for a seasoned data scientist to lead complex projects and influence the technological direction of a forward-thinking company, leveraging cutting-edge AI/ML techniques.

• Develop, train, and deploy advanced machine learning models for prediction, classification, and optimization tasks.
• Conduct in-depth data exploration, feature engineering, and model evaluation using large, complex datasets.
• Design and implement A/B tests and other experiments to validate model performance and business impact.
• Collaborate with software engineers and product managers to integrate ML models into production systems.
• Stay abreast of the latest research and advancements in AI/ML and identify opportunities for application.
• Communicate complex findings and recommendations clearly to both technical and non-technical stakeholders.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on AI and Machine Learning .
• Proficiency in programming languages like Python or R, and libraries such such as Tensor Flow, PyTorch, scikit-learn.
• Expertise in statistical modeling, data mining, and algorithm development.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).

• Highly attractive salary and annual bonus structure.
• Comprehensive medical, dental, and vision insurance plans.
• Generous allocation of stock options or equity.
• Remote work flexibility, allowing you to work from anywhere.
• Continuous learning opportunities, including access to online courses and conferences.