<p><b>What role you will play in team:</b> You will be a key member of a team developing and implementing machine learning models for a variety of business applications.</p><p><b>What you will do:</b>  You'll be responsible for the entire data science lifecycle, from data acquisition and cleaning to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and prepare data for analysis.</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 and other stakeholders.</li><li>Communicate findings and insights to non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Strong 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>Work on challenging and rewarding projects.</li><li>Collaborative and supportive work environment.</li><li>Comprehensive health insurance.</li></ul></p><p><b>A Day in the Life:</b> You might spend your day cleaning data, building models, testing code, collaborating with your team, and presenting your findings.</p>