<p><b>What role you will play in team:</b> You will be working with a team of highly skilled data scientists developing advanced analytical solutions for our clients in various sectors.</p><p><b>What you will do:</b>  Develop and implement machine learning models to solve business problems.  This includes data preprocessing, feature engineering, and model evaluation.</p><p><b>Key responsibility:</b><ul><li>Develop and implement predictive models using machine learning algorithms.</li><li>Perform data mining, cleaning, and transformation.</li><li>Collaborate with stakeholders to define business problems and solutions.</li><li>Communicate findings and recommendations to both technical and non-technical audiences.</li><li>Stay up-to-date on the latest advancements in data science and machine learning.</li><li>Contribute to the development of innovative data-driven solutions.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Statistics, Mathematics, or a related field.</li><li>2-4 years of experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth and development.</li><li>Exposure to diverse projects and clients.</li><li>Collaborative and supportive work environment.</li><li>Global career opportunities.</li></ul></p><p><b>A Day in the Life:</b>  You will begin by reviewing project requirements, then focus on data analysis and model development.  Later, you'll refine the model and prepare reports for stakeholders.</p>