<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications.</p><p><strong>What you will do:</strong> You will collect, clean, and analyze large datasets, build and deploy predictive models, and collaborate with other teams to integrate your models into their workflows. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Collect, clean, and analyze large datasets.</li><li>Evaluate model performance and make improvements.</li><li>Collaborate with other teams to integrate models into business workflows.</li><li>Communicate findings to stakeholders.</li><li>Stay up-to-date on the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with SQL and big data tools (e.g., Spark).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health Insurance</li></ul></p><p><strong>A Day in the Life:</strong> Your day will typically involve working with large datasets, building and testing machine learning models, and collaborating with team members to integrate your models into business workflows. You will also communicate your findings to stakeholders and stay up-to-date on the latest advancements in machine learning.</p>