<p><strong>What role you will play in team:</strong> Collaborate with cross-functional teams to extract insights from data, contributing to business growth strategies.</p><p><strong>What you will do:</strong>  Develop and implement machine learning models for various business applications.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models to improve efficiency and revenue generation.</li><li>Clean and preprocess large datasets for analysis.</li><li>Perform statistical analysis to identify trends and patterns.</li><li>Communicate findings through clear visualizations and presentations.</li><li>Collaborate with stakeholders to understand business needs and develop solutions.</li><li>Stay current on the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.</li><li>2+ years of experience in data science or a related role.</li><li>Proficient in Python or R programming languages.</li><li>Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</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>Positive and collaborative work environment.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with teams, building models, running experiments, analyzing results, and presenting your findings.</p>