<p><strong>What role you will play in team:</strong>  You will contribute to the development of machine learning models that address social impact challenges.</p><p><strong>What you will do:</strong> You'll work on projects leveraging data science to improve social programs and initiatives.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for social good applications.</li><li>Clean and preprocess large datasets.</li><li>Perform feature engineering and selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.</li><li>Communicate findings to stakeholders effectively.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in a quantitative field.</li><li>1-2 years of relevant experience in data science.</li><li>Strong programming skills in Python or R.</li><li>Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Passion for using data science to solve social problems.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Meaningful work that makes a difference.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li></ul></p><p><strong>A Day in the Life:</strong> You'll spend your day building and testing models, analyzing results, collaborating with colleagues, and contributing to impactful social projects.</p>