<p><b>What role you will play in team:</b> Collaborate with cross-functional teams and business stakeholders to build data-driven solutions for business challenges.</p><p><b>What you will do:</b>  Develop and deploy machine learning models to solve complex business problems, improving efficiency and decision-making.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python, R, or other relevant tools.</li><li>Cleanse and prepare large datasets for analysis.</li><li>Conduct statistical analysis and data visualization.</li><li>Communicate findings and insights to stakeholders through reports and presentations.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest trends in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Computer Science, or related field.</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python and/or R.</li><li>Experience with machine learning algorithms and techniques.</li><li>Excellent communication and presentation skills.</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for career advancement.</li><li>Mentorship and training programs.</li><li>Global network of colleagues.</li><li>Collaborative and intellectually stimulating environment.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data analysis, model building, communication with stakeholders, and collaborating with team members on projects.</p>