<p><b>What role you will play in team:</b> You will be working closely with senior data scientists on various projects, learning and contributing to building machine learning models.</p><p><b>What you will do:</b>  You will assist in data cleaning, feature engineering, model training and evaluation.</p><p><b>Key responsibility:</b><ul><li>Assist in data cleaning and preprocessing.</li><li>Participate in feature engineering and selection.</li><li>Support the training and evaluation of machine learning models.</li><li>Collaborate with senior data scientists on project tasks.</li><li>Learn and apply various machine learning techniques.</li><li>Document your work and contribute to team knowledge sharing.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Mathematics).</li><li>Basic understanding of machine learning concepts and algorithms.</li><li>Proficiency in Python or R programming language.</li><li>Strong analytical and problem-solving skills.</li><li>Willingness to learn and contribute to a team environment.</li><li>Familiarity with data visualization tools is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Mentorship from experienced data scientists.</li><li>Opportunities for professional development and growth.</li><li>Health Insurance</li><li>Paid time off</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves working on specific tasks within a larger project, learning from senior colleagues, and engaging in discussions about model building and improvement.</p>