<p><strong>What role you will play in team:</strong> Contribute to our team's research on machine learning and data analysis techniques. Work with a team of experts to improve the performance of our products and solve critical business problems.</p><p><strong>What you will do:</strong>Develop and implement machine learning models to analyze large datasets and make predictions.  Communicate your findings to both technical and non-technical audiences.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using Python and other relevant tools.</li><li>Analyze large datasets to identify patterns and trends.</li><li>Communicate findings to both technical and non-technical audiences.</li><li>Collaborate with engineers to integrate models into products.</li><li>Stay current with the latest advances in machine learning.</li><li>Contribute to the development of new data analysis techniques.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>1-2 years of experience in data science.</li><li>Proficiency in Python, R, or other statistical software.</li><li>Experience with machine learning algorithms and techniques.</li><li>Strong analytical and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Excellent work-life balance.</li><li>Opportunities for professional development.</li><li>Work from home options available.</li><li>Tuition reimbursement.</li></ul></p><p><strong>A Day in the Life:</strong> Begin by reviewing data and model performance.  Then focus on developing and testing new models, analyzing results, and collaborating with team members.</p>