<p><b>What role you will play in team:</b> You'll be a key member of our data science team, focusing on improving customer experience and revenue generation through data-driven insights.</p><p><b>What you will do:</b> You'll build predictive models, analyze user behavior, and develop recommendations to optimize our platform.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for various applications, including customer segmentation, price optimization, and recommendation systems.</li><li>Analyze large datasets to identify trends and patterns in user behavior.</li><li>Develop and present reports and visualizations to communicate findings to stakeholders.</li><li>Collaborate with product managers and engineers to implement data-driven solutions.</li><li>Stay current with the latest advancements in machine learning and data analysis techniques.</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>0-1 years of experience in a data science or analytics role (Entry-level).</li><li>Proficiency in Python or R.</li><li>Familiarity with SQL and big data tools (e.g., Spark, Hadoop).</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>Dynamic and collaborative work environment.</li><li>Work from home option.</li></ul></p><p><b>A Day in the Life:</b> Your daily activities might include data exploration, model building, collaboration with engineers, and presenting your findings.</p>