<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 client projects.  You'll collaborate closely with engineers and product managers.</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. You will work on challenging projects and learn from experienced professionals.</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>Communicate technical concepts to both technical and non-technical audiences.</li><li>Collaborate with other team members to deliver high-quality projects.</li><li>Stay up-to-date with the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning algorithms such as regression, classification, and clustering.</li><li>Familiarity with data visualization tools like Matplotlib and Seaborn.</li><li>Excellent problem-solving and analytical skills.</li><li>Experience with cloud platforms like AWS or Azure is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Health insurance and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day would involve working on various aspects of the data science lifecycle, from data exploration and analysis to model development and deployment. You will collaborate with colleagues and clients to solve challenging problems using data-driven solutions.</p>