<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications. </p><p><strong>What you will do:</strong> You will be involved in the entire data science lifecycle, from data collection and preprocessing to model deployment and monitoring. </p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with other team members to integrate models into business applications.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Document your work and communicate findings effectively.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Chance to work on challenging and impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong>  You'll start by reviewing your project goals, then dive into data analysis and model development. Collaborate with the team, discuss findings, and iterate on your work throughout the day.</p>