<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various client projects. </p><p><b>What you will do:</b> You will collaborate with cross-functional teams, gather data, perform data analysis, and build predictive models to address business problems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and iterate on model improvements.</li><li>Communicate findings and insights effectively to both technical and non-technical audiences.</li><li>Collaborate with other team members on project goals.</li><li>Stay up-to-date with the latest advances in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home options.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with your team, working on model development, performing data analysis, and communicating results to clients and stakeholders.  You'll engage in continuous learning and problem-solving.</p>