<p><strong>What role you will play in team:</strong> You will be a key member of our growing data science team, contributing to innovative solutions and impactful insights for our business. You'll collaborate closely with other scientists, engineers, and product managers to tackle challenging problems.</p><p><strong>What you will do:</strong> You will develop and implement machine learning models, conduct data analysis, and communicate your findings to both technical and non-technical audiences.  You'll be involved in the entire data science lifecycle, from data collection to model deployment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models to solve business problems.</li><li>Conduct exploratory data analysis to uncover insights and inform business decisions.</li><li>Collaborate with cross-functional teams to define project scope and deliverables.</li><li>Communicate findings and recommendations to stakeholders clearly and effectively.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li><li>Maintain and improve existing data science infrastructure and pipelines.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD degree in a quantitative field (e.g., statistics, computer science, mathematics).</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering).</li><li>Experience with big data technologies (e.g., Spark, Hadoop).</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Work in a dynamic and collaborative environment.</li><li>Opportunity to work on cutting-edge technology.</li><li>Health Insurance.</li><li>Paid time off.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves collaborating with team members, analyzing data, building and testing models, and presenting findings.  There's a good mix of independent work and team collaboration.</p>