<p><b>What role you will play in team:</b> You will be a key member of our data science team, contributing to the development and implementation of machine learning models for various business applications.</p><p><b>What you will do:</b> You will work on a variety of projects, from developing predictive models to improving existing business processes using data analysis.  You'll collaborate with other data scientists and engineers.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate and improve model performance.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers.</li><li>Stay up-to-date on the latest developments in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in computer science, statistics, or a related field.</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>Collaborative and supportive work environment.</li><li>Work from home option available.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with the team to understand business problems and translate them into data science solutions. You'll spend time coding, running experiments, analyzing results, and communicating findings.</p>