<p><b>What role you will play in team:</b> You'll be working with a team of highly skilled data scientists building models to predict customer behavior and identify opportunities for growth.</p><p><b>What you will do:</b>  You'll be responsible for the entire data science lifecycle, from data collection and preprocessing to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and preprocess large datasets.</li><li>Develop and evaluate machine learning models.</li><li>Deploy models into production environments.</li><li>Monitor model performance and make necessary adjustments.</li><li>Collaborate with engineers to integrate models into existing systems.</li><li>Communicate findings to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries like scikit-learn, TensorFlow, or PyTorch.</li><li>Experience with cloud platforms like AWS, Azure, or GCP.</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 development.</li><li>A collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Opportunities to work on cutting-edge technologies.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data exploration, model development, code review, and collaborating with your team on projects.</p>