<p><strong>What role you will play in team:</strong> You'll contribute to a collaborative team, building predictive models and extracting insights from complex datasets.</p><p><strong>What you will do:</strong> You'll be responsible for the entire data science lifecycle, from data exploration to model deployment.</p><p><strong>Key responsibility:</strong><ul><li>Extract, transform, and load (ETL) data from various sources.</li><li>Develop and evaluate predictive models using various machine learning techniques.</li><li>Communicate findings and insights to stakeholders using data visualizations.</li><li>Collaborate with engineers to deploy models into production.</li><li>Stay up-to-date on the latest advancements in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field (statistics, mathematics, computer science).</li><li>Experience with programming languages like Python or R.</li><li>Familiarity with machine learning algorithms (regression, classification, clustering).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for learning and development.</li><li>Friendly and collaborative work environment.</li><li>Potential to work on diverse projects.</li></ul></p><p><strong>A Day in the Life:</strong> A day will involve data cleaning, model building, and collaborating with team members to solve data-related problems.</p>