<p><strong>What role you will play in team:</strong> Contribute to data analysis and modeling projects under the guidance of senior data scientists.</p><p><strong>What you will do:</strong> Assist in data cleaning, preprocessing, and feature engineering tasks.</p><p><strong>Key responsibility:</strong><ul><li>Assist in data collection and cleaning.</li><li>Perform exploratory data analysis.</li><li>Develop and test machine learning models.</li><li>Contribute to model deployment.</li><li>Learn and apply new data science techniques.</li><li>Collaborate with team members.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field.</li><li>Strong foundational knowledge of statistics and machine learning.</li><li>Proficiency in Python or R.</li><li>Familiarity with data manipulation libraries (e.g., Pandas, NumPy).</li><li>Good communication and teamwork skills.</li><li>Enthusiasm to learn and grow in a data science role.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Mentorship opportunities from senior data scientists.</li><li>Opportunities for professional development.</li><li>Supportive and collaborative work environment.</li><li>Health Insurance</li><li>Performance based bonus</li></ul></p><p><strong>A Day in the Life:</strong> A day will involve learning from senior colleagues, working on data cleaning, and exploring new machine learning techniques.</p>