<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.  You'll collaborate closely with engineers and business stakeholders to deliver impactful results.</p><p><b>What you will do:</b>  You will design, build, and deploy machine learning models, conduct data analysis and feature engineering, and present findings to both technical and non-technical audiences.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Conduct thorough data analysis and feature engineering to improve model performance.</li><li>Collaborate with engineers to integrate models into production systems.</li><li>Present findings and recommendations to stakeholders.</li><li>Stay up-to-date with the latest advances in machine learning.</li><li>Work with large datasets and perform data cleaning and preprocessing.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>Experience with Python and related data science libraries (pandas, scikit-learn, TensorFlow, PyTorch).</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Excellent communication and presentation skills.</li><li>Experience with SQL and big data technologies (e.g., Hadoop, Spark) is a plus.</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>Health insurance, paid time off and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b>  A typical day might involve data exploration, model building, testing, and collaboration with other team members. You'll spend time analyzing results, troubleshooting issues, and presenting your findings. </p>