Data Scientist - Machine Learning in Bangalore, भारत

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 https://jobeax.com/link/d6zqLcygnqsI43u7 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 https://jobeax.com/link/GfAMwC80E8VjMMDs 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. (ref:hirist.tech)