<p><b>What role you will play in team:</b>You'll join a dynamic team of data scientists, contributing to various projects involving data analysis, model building, and implementation. You will learn from senior members and contribute to the growth of our data-driven solutions.</p><p><b>What you will do:</b>You will assist in data cleaning, preprocessing, feature engineering, and model building.  You will also help in deploying models and monitoring their performance. This role is great for someone starting their career in data science.</p><p><b>Key responsibility:</b><ul><li>Assist senior data scientists in various data science tasks.</li><li>Perform data cleaning and preprocessing.</li><li>Develop and implement machine learning models.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Assist in the deployment and maintenance of models.</li><li>Participate in team meetings and contribute to project discussions.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in statistics, mathematics, computer science, or a related field.</li><li>Basic understanding of statistical concepts and machine learning algorithms.</li><li>Proficiency in Python or R programming languages.</li><li>Familiarity with machine learning libraries such as scikit-learn.</li><li>Good communication and teamwork skills.</li><li>A strong desire to learn and grow in the field of data science.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>A supportive and collaborative work environment.</li><li>Health Insurance.</li><li>Paid leaves and Holidays.</li><li>Learning and development opportunities.</li></ul></p><p><b>A Day in the Life:</b>Will involve data exploration, model building, learning from senior team members, and collaborating with colleagues on projects.  It's a dynamic and fast-paced environment with opportunities for constant learning.</p>