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Specific responsibilities include.

• Develop predictive models, classification algorithms, and clustering techniques to solve complex business problems.
• Use statistical techniques and machine learning to detect trends, risks, and opportunities
• Translate analytical findings into actionable business insights.
• Collaborate with departments to define key questions and provide recommendations that support decision-making.
• Design and evaluate experiments (A/B testing, simulations, etc.) to test hypotheses and optimize outcomes.
• Use optimization and simulation models to recommend process improvements.
• Partner with the data engineer to source, clean, and prepare datasets for modeling.
• Design features from structured and unstructured data sources to improve model performance.
• Create dashboards and reports using Tableau or similar tools to visualize patterns, trends, and insights.
• Present complex analysis in simple, executive-ready formats