<p><b>What role you will play in team:</b>  Develop and implement machine learning solutions to solve complex business problems within a collaborative team.</p><p><b>What you will do:</b>  You will be responsible for the entire data science lifecycle, from data acquisition to model deployment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models.</li><li>Perform feature engineering and selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Deploy models into production environments.</li><li>Collaborate with other engineers and stakeholders.</li><li>Communicate results effectively to both technical and non-technical audiences.</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>3-5 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with various machine learning algorithms.</li><li>Strong understanding of statistical modeling.</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 growth and advancement.</li><li>Collaborative and supportive work environment.</li><li>Professional development opportunities.</li><li>Health insurance and paid time off.</li><li>Performance Bonus</li></ul></p><p><b>A Day in the Life:</b> Your day will consist of collaborating with team members, conducting research and model development, and evaluating model performance. You will also participate in team meetings and provide updates to stakeholders.</p>