<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 problems. </p><p><b>What you will do:</b>  You will collaborate with cross-functional teams to understand business needs, collect and clean data, build and evaluate machine learning models, and deploy solutions into production. </p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using various algorithms.</li><li>Perform data cleaning, preprocessing, and feature engineering.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Deploy models into production and monitor their performance.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.</li><li>Stay up-to-date with the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., statistics, mathematics, computer science).</li><li>Proficiency in Python or R programming languages.</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Work from home/Hybrid options.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves collaborating with team members, working on data analysis projects, building and testing machine learning models, and attending team meetings.  You'll be constantly learning and expanding your skills.</p>