<p><b>What role you will play in team:</b> You will be part of a team that leverages data to solve complex business problems for our diverse clientele.</p><p><b>What you will do:</b> You will be involved in all stages of the data science lifecycle, from data collection to model deployment and interpretation.</p><p><b>Key responsibility:</b><ul><li>Collect, clean, and preprocess large datasets.</li><li>Develop and implement machine learning models to address business challenges.</li><li>Perform statistical analysis and interpret results.</li><li>Develop visualizations to communicate findings effectively.</li><li>Collaborate with cross-functional teams to define project requirements and deliver solutions.</li><li>Document your work and share knowledge within the team.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with common machine learning algorithms.</li><li>Familiarity with data visualization tools.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Exposure to diverse projects and industries.</li><li>Opportunities for professional growth and development.</li><li>Comprehensive training and mentorship programs.</li><li>Health insurance and paid time off.</li><li>Work-life balance initiatives.</li></ul></p><p><b>A Day in the Life:</b>  A typical day involves analyzing data, building models, presenting results to clients, and collaborating with a team of talented professionals.</p>