A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings Automation & Optimization: Develop scripts and tools to automate data processing and model deployment Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges