<p><b>What role you will play in team:</b> Collaborate with a team to develop and implement machine learning solutions for various business problems.</p><p><b>What you will do:</b>  Work on large-scale datasets to develop predictive models for improved business decision-making.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform data cleaning, transformation, and feature engineering.</li><li>Evaluate model performance using various metrics.</li><li>Communicate results and insights to both technical and non-technical audiences.</li><li>Work with engineers to deploy models into production.</li><li>Stay current with the latest advances in machine learning techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or Bachelor's degree in a quantitative field.</li><li>2-4 years experience in data science.</li><li>Proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Experience working with large datasets.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career growth.</li><li>A stimulating and collaborative work environment.</li><li>Flexible work arrangements and work from home options.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  Your day may involve data exploration, model building, model testing, code writing and collaborating with teammates.</p>