<p><b>What role you will play in team:</b> Work closely with a team of data scientists and engineers to develop and implement machine learning models to support business operations. </p><p><b>What you will do:</b> You will be responsible for the entire data science lifecycle, from data collection to model deployment. </p><p><b>Key responsibility:</b><ul><li>Collect, clean, and analyze large datasets.</li><li>Develop and evaluate machine learning models.</li><li>Deploy models into production environments.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (Statistics, Computer Science, etc.).</li><li>Strong programming skills in Python or R.</li><li>Experience with various machine learning algorithms (regression, classification, clustering).</li><li>Familiarity with big data technologies (Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li><li>Experience with data visualization tools (Tableau, Power BI).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth and development.</li><li>Health insurance.</li><li>Paid time off.</li><li>Casual and collaborative work environment.</li></ul></p><p><b>A Day in the Life:</b>  A typical day would involve data exploration, model building, code development, and collaboration with team members to solve business problems using data.</p>