Responsibilities:

• Analyze large datasets using advanced statistical techniques to uncover patterns and deliver actionable insights.
• Build and deploy machine learning models (e.g., decision trees, SVM, clustering, ensemble methods, deep learning) for performance and policy optimization.
• Clean, transform, and process data from multiple sources to ensure quality.
• Collaborate with stakeholders to translate business needs into data-driven solutions.
• Present findings through clear visualizations and storytelling to guide strategic decisions.

Requirements:

• Bachelor's/Master's in Data Science, Computer Science, Statistics, or related field (PhD welcome).
• Strong Python and SQL skills experience with Pandas, NumPy, TensorFlow, Keras, PyTorch.
• Solid understanding of statistical analysis and modeling.
• Familiarity with big data tools (Hadoop, Spark, Databricks).
• Proficiency in data visualization tools (Tableau, Power BI).