<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to projects involving large datasets and complex algorithms. </p><p><strong>What you will do:</strong> Develop and implement machine learning models to solve business problems.  Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, Computer Science or related field.</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and supportive work environment.</li><li>Work-life balance.</li><li>Health insurance</li></ul></p><p><strong>A Day in the Life:</strong> You'll start by reviewing project updates, then dive into data analysis and model building. You'll collaborate with colleagues, present findings, and continue refining models.  The day will involve coding, problem-solving, and teamwork.</p>