<p><b>What role you will play in team:</b> Contribute to building and implementing machine learning models within a collaborative team.</p><p><b>What you will do:</b> Focus on data cleaning, preprocessing and feature engineering for various projects.</p><p><b>Key responsibility:</b><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Model training and evaluation.</li><li>Assisting senior data scientists in project execution.</li><li>Staying abreast of new developments in machine learning.</li><li>Documenting code and processes.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, statistics or related field.</li><li>0-1 year of experience in data science (internships considered).</li><li>Proficiency in Python or R.</li><li>Familiarity with common machine learning libraries (e.g., scikit-learn).</li><li>Understanding of statistical concepts.</li><li>Good problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Mentorship from senior team members.</li><li>Positive and collaborative work environment.</li><li>Health insurance</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves focusing on data cleaning and preprocessing activities, and collaborating with team members.</p>