Data Scientist

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources.
• Build and implement statistical models and machine learning algorithms for predictive and descriptive analytics.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Develop predictive models to support forecasting, risk analysis, and business planning.
• Apply data mining techniques to extract meaningful insights from large datasets.
• Design and maintain data models and analytical frameworks for business use cases.
• Collaborate with business stakeholders to understand requirements and define analytical solutions.
• Present insights, findings, and recommendations through reports and dashboards.
• Work with data engineering teams to ensure data availability, quality, and reliability.
• Optimize models and analytical processes for accuracy and performance.
• Support decision-making by providing data-driven insights and scenario analysis.
• Document methodologies, assumptions, and analytical processes clearly.