<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications.  Collaborate closely with cross-functional teams to understand business needs and translate them into data-driven solutions.</p><p><b>What you will do:</b> You will collect, clean, and analyze large datasets, build predictive models, and present your findings to stakeholders.  You will also be involved in the deployment and maintenance of these models.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms to solve complex business problems.</li><li>Perform statistical analysis and data mining to identify trends and patterns.</li><li>Build and maintain data pipelines for efficient data processing.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.</li><li>Communicate findings effectively through presentations and reports.</li><li>Stay abreast of the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in data science, computer science, statistics, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li><li>Experience with SQL and 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 professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Health insurance coverage.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve reviewing data, building and testing models, collaborating with colleagues, and presenting your findings to stakeholders. You'll be working on a variety of projects, using your skills to solve real-world problems.</p>