<p><b>What role you will play in team:</b> Apply data science techniques to improve energy efficiency and grid stability.</p><p><b>What you will do:</b> Analyze large datasets of energy consumption and grid data to identify trends and patterns.</p><p><b>Key responsibility:</b><ul><li>Develop and implement data science models for predicting energy consumption.</li><li>Analyze large datasets of energy consumption and grid data.</li><li>Develop and implement machine learning algorithms for anomaly detection.</li><li>Communicate findings to stakeholders through reports and presentations.</li><li>Collaborate with other data scientists and engineers.</li><li>Contribute to the improvement of data science processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms.</li><li>Experience with data visualization tools.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth and development.</li><li>A challenging and rewarding work environment.</li><li>Health insurance and other benefits.</li><li>Flexible working arrangements.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data analysis, model development, and collaboration with other team members.</p>