<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 closely with cross-functional teams to understand business needs and translate them into data-driven solutions. </p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for various business problems.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers to build and deploy data science solutions.</li><li>Stay up-to-date with the latest advances in machine learning and data science.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., computer science, statistics, mathematics).</li><li>1+ years of experience in data science or a related field.</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Strong understanding of statistical concepts and techniques.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home or hybrid work options.</li><li>Health insurance.</li><li>Paid time off.</li></ul></p><p><b>A Day in the Life:</b>  You'll start by reviewing the progress on your current projects and collaborate with team members.  You'll then spend the majority of your day working on developing and improving machine learning models. You will also be presenting your work and findings to stakeholders.</p>