<p><b>What role you will play in team:</b>  You'll join a team of data scientists working on cutting-edge energy solutions, leveraging machine learning to optimize energy grids and renewable energy systems. </p><p><b>What you will do:</b>  You'll collect, analyze, and interpret large datasets to identify trends and insights. You'll build predictive models to forecast energy consumption and improve the efficiency of renewable energy sources.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and prepare large datasets for analysis.</li><li>Develop and implement machine learning models for predictive analytics.</li><li>Communicate findings and insights to stakeholders.</li><li>Collaborate with engineers and product managers to develop new solutions.</li><li>Stay up-to-date on the latest advances in machine learning and data science.</li><li>Present findings in a clear and concise manner.</li><li>Contribute to the development of new data science products and services.</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>2-4 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A challenging and rewarding work environment.</li><li>Health insurance, Paid Time Off, and more.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves working with data, building models, collaborating with colleagues, and presenting findings. You will be constantly learning and developing your skills.</p>