<p><strong>What role you will play in team:</strong> You will be a part of a team using data to drive insights and improve decision making within the organization.</p><p><strong>What you will do:</strong> You will develop, implement, and maintain machine learning models to solve business problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various techniques.</li><li>Perform data exploration, cleaning, and transformation.</li><li>Engineer features and select appropriate models for specific problems.</li><li>Evaluate model performance using various metrics.</li><li>Communicate results to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and business stakeholders.</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>Proficiency in Python or R programming.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (e.g., Spark, Hadoop) is a plus.</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 career growth and professional development.</li><li>A collaborative and innovative work environment.</li><li>Work-life balance.</li></ul></p><p><strong>A Day in the Life:</strong>  A day would involve data analysis, model building, code writing, collaboration with colleagues, and reporting on findings to stakeholders.  The work is both independent and collaborative.</p>