<p><strong>What role you will play in team:</strong> You'll be a key member of a data science team, applying your skills to analyze large datasets and develop predictive models for improving energy efficiency and grid stability.</p><p><strong>What you will do:</strong> You'll be responsible for cleaning, transforming, and analyzing data using various statistical and machine learning techniques.  You'll also collaborate with engineers and business stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for predictive maintenance of energy infrastructure</li><li>Analyze large datasets to identify patterns and trends</li><li>Develop data visualizations to communicate insights to stakeholders</li><li>Collaborate with engineers and business stakeholders to define project scope and requirements</li><li>Document and present findings to technical and non-technical audiences</li><li>Stay up-to-date on the latest advancements in data science and machine learning</li></ul></p><p><strong>Required Qualification and Skills:</strong><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 (regression, classification, clustering)</li><li>Strong communication and presentation skills</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional development</li><li>Collaborative and supportive work environment</li><li>Health insurance</li><li>Paid time off</li></ul></p><p><strong>A Day in the Life:</strong> You’ll spend your day working with data, building models, collaborating with colleagues, and presenting your findings to stakeholders.</p>