Description:
Key Responsibilities:- Perform statistical analysis, forecasting, predictive modeling, simulation, and optimization.
- Assess new data sources and improve data collection techniques to support analytic systems.
- Design and implement advanced analytics models to uncover business opportunities and drive performance improvements.
- Communicate analytical findings through data visualization and reporting to business stakeholders.
- Provide technical expertise in machine learning, cloud technologies, and APIs.
- Support the migration of on-premise solutions to the cloud and maintain existing models.
- Coach and mentor Junior Data Scientists and Analysts.
- Partner with business stakeholders to identify high-value opportunities and drive adoption of data science solutions.
- Ensure that infrastructure and tools (databases, BI tools, modeling software) meet analytical requirements.
- Monitor model performance and build structures to track usage and effectiveness.
Required Skills and Experience:
- 46 years of relevant experience.
- Strong analytical and problem-solving abilities.
- Proficient in data analytics, including big data, statistical modeling, and database mining.
- Experience with classification models, anomaly detection, regression, and neural networks.
- Skilled in Python, SQL Server, Power BI, Excel, and PowerPoint; experience with Azure is advantageous.
- Familiar with Python APIs and data science best practices.
- Excellent communication and relationship management skills.
- Strong project management and delivery capabilities.
Educational Requirements:
- Matric certificate.
- Bachelors Degree in Science, Mathematics, Statistics, Engineering, or Computer Science.
- A data science-specific qualification is preferred.
09 May 2025;
from:
gumtree.co.za