Data Scientist

Job Overview: We are looking for an experienced Data Scientist with 5+ years of experience in data science, machine learning, and statistical analysis. The ideal candidate will be responsible for developing data-driven solutions, building and deploying machine learning models, and translating complex business problems into actionable insights. Key Responsibilities: - Analyze large and complex datasets to identify trends, patterns, and actionable business insights. - Develop, train, validate, and optimize machine learning and statistical models for business use cases. - Perform data preprocessing, feature engineering, exploratory data analysis, and model evaluation. - Collaborate with business, product, engineering, and analytics teams to understand requirements and define data science solutions. - Deploy and monitor machine learning models in production environments and ensure model performance and reliability. - Develop predictive and classification models using appropriate machine learning algorithms. - Create data visualizations and present analytical findings and recommendations to technical and non-technical stakeholders. - Implement best practices for model development, experimentation, documentation, and version control. Required Skills: - 5+ years of experience in Data Science - Machine Learning. - Strong programming skills in Python. - Hands-on experience with Pandas, NumPy, Scikit-learn, and other data science libraries. - Strong understanding of statistics, probability, and machine learning algorithms. - Experience with SQL and working with large datasets. - Experience in data preprocessing, feature engineering, model validation, and optimization. - Knowledge of machine learning techniques such as regression, classification, clustering, and ensemble methods. - Experience with data visualization tools such as Power BI, Tableau, Matplotlib, or Seaborn. - Good understanding of model deployment, APIs, and ML lifecycle practices. - Strong analytical, problem-solving, and communication skills.