<p><strong>What role you will play in team:</strong>  Develop and implement predictive models to improve business outcomes.</p><p><strong>What you will do:</strong>  Collaborate with engineers to deploy models into production systems.</p><p><strong>Key responsibility:</strong><ul><li>Develop and evaluate machine learning models.</li><li>Perform feature engineering and selection.</li><li>Implement model deployment strategies.</li><li>Monitor model performance and address issues.</li><li>Collaborate with cross-functional teams.</li><li>Stay updated on advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in a quantitative field (e.g., statistics, computer science).</li><li>2-4 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive team environment.</li><li>Work on challenging and impactful projects.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><strong>A Day in the Life:</strong> You'll be involved in model development, data analysis, collaboration, and keeping up with the latest in machine learning.</p>