<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.</p><p><b>What you will do:</b> You will work with large datasets to build, train, and evaluate models, collaborating with engineers to deploy solutions.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and preprocess large datasets</li><li>Develop and implement machine learning models using Python and relevant libraries</li><li>Evaluate model performance and identify areas for improvement</li><li>Collaborate with engineers to deploy models into production environments</li><li>Communicate findings and insights effectively to both technical and non-technical audiences</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, Statistics, or related field</li><li>Proficiency in Python and relevant libraries (Pandas, Scikit-learn, TensorFlow/PyTorch)</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn)</li><li>Strong analytical and problem-solving skills</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 and growth</li><li>Dynamic and collaborative work environment</li><li>Health insurance</li><li>Paid time off</li><li>Performance based bonuses</li></ul></p><p><b>A Day in the Life:</b> You'll begin by reviewing data, building and testing models, collaborating with engineers for deployment, and finally presenting your findings to stakeholders. </p>