<p><b>What role you will play in team:</b> You will contribute to a team focusing on applying advanced analytics to solve business problems across various departments.</p><p><b>What you will do:</b>  Your role will involve building predictive models, conducting A/B testing, and providing data-driven insights to optimize decision-making.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for business problems.</li><li>Perform statistical analysis and data mining.</li><li>Create data visualizations and dashboards to communicate findings.</li><li>Collaborate with cross-functional teams.</li><li>Stay current with the latest advancements in data science.</li><li>Contribute to the improvement of data analysis processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming.</li><li>Experience with SQL and data manipulation techniques.</li><li>Excellent communication, presentation, and problem-solving skills.</li><li>Familiarity with machine learning algorithms (regression, classification, clustering).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive compensation and benefits package.</li><li>Professional development opportunities.</li><li>A collaborative and supportive work environment.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data cleaning, model building, testing, and collaborating with colleagues. There's a balance of independent work and team interaction.</p>