<p><b>What role you will play in team:</b>You will be a critical member of our data science team, contributing to the development and deployment of machine learning models.</p><p><b>What you will do:</b>You will be responsible for the entire data science lifecycle, from data collection to model deployment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to address complex business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and make necessary adjustments.</li><li>Collaborate with engineers to deploy models to production environments.</li><li>Communicate technical concepts effectively to both technical and non-technical audiences.</li><li>Stay up-to-date with the latest advances in machine learning and data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in a related field (e.g., Computer Science, Statistics, Mathematics).</li><li>Proficiency in Python and R programming languages.</li><li>Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (e.g., Hadoop, Spark) is a plus.</li><li>Excellent problem-solving and communication skills.</li><li>Ability to work independently and as part of a team.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>A collaborative and supportive work environment.</li><li>Health Insurance, Paid Time Off, and other employee benefits.</li><li>Opportunities for global collaboration.</li></ul></p><p><b>A Day in the Life:</b>You’ll spend your day building and refining machine learning models, collaborating with your team, and solving challenging problems.</p>