<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models to solve complex business problems.</p><p><b>What you will do:</b> Work with large datasets, applying statistical modeling and machine learning techniques.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models.</li><li>Perform statistical analysis and modeling.</li><li>Cleanse and prepare data for analysis.</li><li>Present findings and recommendations to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay current with advancements in machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>3-5 years of experience in data science.</li><li>Proficiency in Python or R and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (e.g., Spark, Hadoop) is a plus.</li><li>Strong communication and presentation skills.</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a dynamic and collaborative environment.</li><li>Health insurance and other benefits.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  Involves working with data, building models, analyzing results, collaborating with the team, and communicating insights to stakeholders.</p>