<p><b>What role you will play in team:</b> You'll use your data science expertise to build models, derive insights, and support business decision-making.</p><p><b>What you will do:</b>  You'll work with large datasets to create predictive models, conduct statistical analysis, and visualize findings.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python (scikit-learn, TensorFlow, PyTorch).</li><li>Conduct statistical analysis to derive insights from data.</li><li>Visualize data and communicate findings effectively to stakeholders.</li><li>Collaborate with other data scientists and business stakeholders.</li><li>Stay current with the latest advances in data science.</li><li>Maintain data quality and ensure data accuracy.</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 (Pandas, NumPy, scikit-learn).</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with data visualization tools (Matplotlib, Seaborn).</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Medical, dental, and vision insurance; paid time off.</li></ul></p><p><b>A Day in the Life:</b> You'll spend your day working on data analysis, building models, testing hypotheses, and collaborating with other data scientists and business users.</p>