<p><b>What role you will play in team:</b> You will be part of a team developing algorithms and models for analyzing large datasets to improve product performance.</p><p><b>What you will do:</b> You'll collect, clean, and analyze data; develop and implement machine learning models.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Develop and maintain data pipelines.</li><li>Communicate findings to stakeholders.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date with the latest advancements in data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Computer Science, Statistics, or a related field.</li><li>Experience with Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Impactful work on a global scale.</li><li>Health insurance.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> Includes data exploration, model development, collaboration with colleagues, and presenting findings to stakeholders.</p>