<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 various projects.</p><p><b>What you will do:</b> You will be involved in all aspects of the data science lifecycle, from data collection and preprocessing to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Collect, clean, and preprocess data.</li><li>Evaluate and improve model performance.</li><li>Deploy models into production environments.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest advances in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in computer science, statistics, mathematics, or a related field.</li><li>Experience with Python and R.</li><li>Experience with machine learning algorithms (e.g., linear regression, logistic regression, support vector machines, decision trees, random forests, neural networks).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>A collaborative and supportive work environment.</li><li>Flexible work arrangements.</li></ul></p><p><b>A Day in the Life:</b> You will start your day with a team meeting, followed by working on data analysis and model building. In the afternoon, you will collaborate with engineers to deploy your models.  You'll end your day by reviewing your progress and planning for the next day.</p>