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 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 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, 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