<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 advanced analytical models.</p><p><strong>What you will do:</strong> You will collaborate with cross-functional teams to understand business problems and translate them into analytical solutions. You will develop and maintain data pipelines, and communicate your findings effectively to stakeholders.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Cleanse, transform, and analyze large datasets using SQL and Python.</li><li>Create data visualizations to communicate insights.</li><li>Collaborate with other data scientists and engineers to develop and deploy models.</li><li>Maintain and improve existing data science models.</li><li>Document your work thoroughly and present findings to stakeholders.</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>Proficiency in Python and SQL.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Excellent communication and presentation skills.</li><li>Experience with big data tools (e.g., Spark, Hadoop) is a plus.</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>Work from home options.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves working with large datasets, building and testing models, collaborating with team members, and presenting your findings to stakeholders. You'll be challenged to solve complex problems and contribute to the success of our clients.</p>