Data Scientist; Machine Learning Focus

Our client, a pioneering analytics firm located in Richards Bay, Kwa Zulu-Natal , is seeking an accomplished Data Scientist with a strong specialization in Machine Learning to join their growing team. This hybrid role offers the flexibility to work from home and in the office, fostering collaboration while respecting work-life balance. You will play a pivotal role in leveraging complex datasets to uncover insights, build predictive models, and drive data-informed decision-making across various business units.

The ideal candidate possesses a robust statistical background, advanced programming skills, and hands-on experience with cutting-edge machine learning techniques. This is a unique opportunity to apply your expertise to real-world challenges in a dynamic industry. You will work closely with stakeholders to define analytical problems, develop scalable solutions, and communicate findings effectively. We are looking for a proactive and curious individual who is passionate about extracting value from data and is eager to contribute to innovative projects in the Richards Bay area.

Join us to make a significant impact through data science and shape the future of our client's operations.

• Design, develop, and implement machine learning models to solve complex business problems.
• Clean, transform, and preprocess large datasets for analysis and model training.
• Perform statistical analysis and hypothesis testing to identify trends and patterns.
• Evaluate and optimize model performance, ensuring accuracy and efficiency.
• Collaborate with engineers to deploy models into production environments.
• Communicate complex findings and insights to technical and non-technical stakeholders.
• Stay abreast of the latest research and advancements in data science and machine learning.
• Develop data visualizations to effectively present analytical results.
• Contribute to the development of data strategies and roadmaps.

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist with a focus on Machine Learning.
• Strong proficiency in Python or R, including libraries for data manipulation, analysis, and machine learning (e.g., Pandas, Num Py, Scikit-learn, Tensor Flow, PyTorch).
• Experience with SQL for data querying and manipulation.
• Solid understanding of statistical modeling, predictive analytics, and various ML algorithms (e.g., regression, classification, clustering, deep learning).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work effectively in a hybrid team environment.

• Highly competitive salary with performance-based incentives.
• Comprehensive medical aid and retirement fund contributions.
• Generous leave allowance.
• Opportunities for ongoing professional development and training.
• Hybrid work arrangement offering flexibility.
• Access to cutting-edge technology and resources.
• A stimulating work environment focused on innovation.