<p><b>What role you will play in team:</b> Collaborate with a team of data scientists and engineers to develop and implement machine learning solutions for various clients.</p><p><b>What you will do:</b>  You will be involved in the entire data science lifecycle, from data collection and cleaning to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and preprocess data from various sources.</li><li>Develop and implement machine learning models to solve business problems.</li><li>Evaluate model performance and iterate on models to improve accuracy.</li><li>Deploy models into production environments.</li><li>Collaborate with engineers to integrate models into applications.</li><li>Communicate findings and recommendations to clients.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Hadoop, Spark).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Hybrid work model.</li></ul></p><p><b>A Day in the Life:</b> A day might involve data cleaning, model training, and collaborating with your team to build innovative solutions.</p>