- Develop and maintain predictive models using machine learning algorithms to forecast demand for IT services.
- Collaborate with cross-functional teams to identify business needs and develop data-driven solutions.
- Design, implement, and evaluate complex statistical models to drive business outcomes.
- Provide insights and recommendations to stakeholders on forecast accuracy, trends, and areas for improvement.
Job Requirements :
- 4.5-15 years of experience in predictive modeling or a related field (e.g., statistics, economics).
- Robust background in machine learning techniques such as regression, classification, clustering etc.
- Proficiency in Python programming language with expertise in libraries like scikit-learn, pandas etc.
- Experience working with time series analysis and deep learning frameworks.