Data Scientist - AI Focus

Our client is looking for a skilled Data Scientist with a strong focus on AI to join their team in Benoni. This role involves extracting actionable insights from complex datasets, building predictive models, and developing AI-driven solutions to address critical business challenges. You will work collaboratively with cross-functional teams, including engineers, analysts, and product managers, in a hybrid work environment that promotes both in-person synergy and remote flexibility.

This is an excellent opportunity to apply advanced analytical techniques and machine learning to drive data-informed decision-making and innovation.

• Collect, clean, and analyze large, complex datasets to identify trends and patterns.
• Develop, train, and evaluate machine learning and AI models for prediction and classification tasks.
• Design and implement experiments to test hypotheses and validate model performance.
• Communicate findings and insights effectively through visualizations and reports to both technical and non-technical audiences.
• Collaborate with engineering teams to deploy models into production environments.
• Stay current with the latest advancements in data science, AI, and machine learning techniques.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• 3+ years of experience as a Data Scientist, with a proven focus on AI/ML projects.
• Proficiency in programming languages such as Python or R, and experience with data science libraries (Pandas, Num Py, Scikit-learn).
• Strong understanding of statistical modeling, machine learning algorithms, and AI concepts.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Familiarity with SQL and experience working with large datasets.

• Competitive salary and performance-based bonus opportunities.
• Comprehensive health, dental, and vision insurance.
• Pension fund and retirement savings plan.
• Hybrid work model offering a balance between office and remote work.
• Opportunities for professional development and continuous learning.
• Engaging work on challenging projects that impact business strategy.