<p><strong>What role you will play in team:</strong> Contribute to model development and deployment within a collaborative team environment.</p><p><strong>What you will do:</strong> You'll work on various aspects of the data science lifecycle, from data exploration to model evaluation.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models.</li><li>Perform data cleaning and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers on model deployment.</li><li>Document and present findings to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or related field.</li><li>Experience with Python or R programming languages.</li><li>Familiarity with machine learning algorithms.</li><li>Experience with data visualization tools.</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary.</li><li>Health insurance.</li><li>Paid time off.</li><li>Professional development opportunities.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> You would spend your day working on model development, testing different algorithms, and collaborating with colleagues on model deployment.  You’ll also present your findings to the team.</p>