<p><strong>What role you will play in team:</strong>  Contribute to solving complex business problems using advanced statistical modeling and machine learning techniques.</p><p><strong>What you will do:</strong> Collaborate with cross-functional teams, conduct data analysis, build predictive models, and deliver actionable insights.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to improve operational efficiency.</li><li>Analyze large datasets to identify trends and patterns.</li><li>Develop and maintain data pipelines.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Communicate findings effectively to both technical and non-technical audiences.</li><li>Contribute to the development of new data science methodologies.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in a quantitative field (Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Excellent analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development.</li><li>Work on impactful projects.</li><li>Global mobility opportunities.</li><li>Health Insurance, Paid Time Off, Retirement Plan.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day involves data exploration, model development, collaboration with team members, and communicating results to stakeholders.</p>