<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for our products.</p><p><b>What you will do:</b> You will work with large datasets, clean and preprocess data, build and evaluate machine learning models, and deploy models into production.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Clean, preprocess, and analyze large datasets.</li><li>Evaluate model performance and make recommendations for improvements.</li><li>Deploy models into production and monitor performance.</li><li>Collaborate with other data scientists and engineers to build and deploy models.</li><li>Communicate findings to stakeholders clearly and effectively.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Proficiency in Python or R.</li><li>Experience with SQL or other database technologies.</li><li>Strong communication and presentation skills.</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Work in a collaborative and supportive environment.</li><li>Opportunities to work on challenging and impactful projects.</li><li>Flexible work hours</li></ul></p><p><b>A Day in the Life:</b> You will start your day by reviewing the performance of your models and then work on developing new features or improve existing models. This involves collaborating with engineers and other data scientists. The rest of the day is dedicated to data analysis, model development, and testing.</p>