Data Scientist

Key Responsibilities * Collect, clean, preprocess, and analyze structured and unstructured datasets. * Perform exploratory data analysis (EDA) to identify trends, patterns, and business insights. * Develop, train, validate, and optimize machine learning models. * Apply statistical techniques and predictive analytics to solve business problems. * Perform feature engineering and model evaluation to improve model performance. * Develop data visualizations and dashboards to communicate analytical findings. * Collaborate with cross-functional teams to translate business requirements into data-driven solutions. * Monitor deployed models and ensure data quality, accuracy, and reliability. Required Skills * Programming: Python * Database Management: SQL, MySQL, PostgreSQL * Python Libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn * Machine Learning: Regression, Classification, Clustering, Feature Engineering, Model Evaluation * Statistics: Probability, Hypothesis Testing, Statistical Analysis * Data Visualization: Power BI, Tableau * Deep Learning: TensorFlow, PyTorch * Cloud Platforms: AWS, Microsoft Azure, or Google Cloud Platform * Core Competencies: Analytical thinking, problem-solving, communication, and stakeholder collaboration.