<p><b>What role you will play in team:</b> You will be a key member of our analytics team, contributing to the development and implementation of innovative data-driven solutions.</p><p><b>What you will do:</b> You will be involved in the entire data science lifecycle, from data collection and cleaning to model building and deployment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform data analysis to identify trends and insights.</li><li>Communicate findings to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers to build and deploy models.</li><li>Maintain and improve existing data science models.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Excellent communication and presentation skills.</li><li>Experience with SQL and databases.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home options.</li><li>Health insurance.</li></ul></p><p><b>A Day in the Life:</b> You will start your day with a team meeting, then work on developing and testing machine learning models. You will collaborate with other data scientists and present your findings to stakeholders in the afternoon.</p>