Data Scientist -Machine learning

Job description

Technical Delivery & Modeling - Lead end-to-end data science and machine learning project execution from discovery to deployment-ready deliverables. - Design, develop, and evaluate ML models aligned to business objectives, ensuring robust performance and generalization. - Perform data exploration, feature engineering, and model selection to improve predictive accuracy and reliability. - Establish model validation approaches, track metrics, and document assumptions, limitations, and outcomes. Consulting & Stakeholder Management - Partner with stakeholders to translate business problems into analytical frameworks and measurable success criteria. - Communicate insights and model results clearly to technical and non-technical audiences, enabling decision-making. - Drive solution recommendations with a focus on feasibility, scalability, and business impact. Leadership & Quality - Provide technical guidance and mentorship to team members, promoting strong engineering and modeling practices. - Review code, experiments, and outputs to ensure quality, reproducibility, and maintainability. - Contribute to reusable assets, templates, and best practices for consistent delivery across initiatives. Minimum Qualifications: - UG education in Computers: BTECH / BSC / BCA (Computers must be included in UG). - 58 years of experience in Data Science, Machine Learning, and AI/ML solution delivery. - Strong hands-on experience with Python for data science workflows and model development. - Proven ability to build, evaluate, and improve ML models using sound statistical and analytical techniques. - Experience working with stakeholders to define problem statements, success metrics, and actionable outcomes. - Technology->AI-Data science->Machine Learning,Technology->AI-Data science->PYTHON