<p><strong>What role you will play in team:</strong>  You'll join a team dedicated to extracting insights from large datasets to drive strategic decision-making. You'll collaborate with colleagues across various departments.</p><p><strong>What you will do:</strong> Develop and implement machine learning models, conduct data analysis, and create visualizations to communicate findings effectively.</p><p><strong>Key responsibility:</strong><ul><li>Collect, clean, and preprocess large datasets.</li><li>Develop and implement machine learning models using Python and relevant libraries.</li><li>Analyze data to identify trends and patterns.</li><li>Create visualizations and reports to communicate findings to stakeholders.</li><li>Collaborate with other data scientists and stakeholders.</li><li>Stay current on the latest advances in data science and machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Data Science, Statistics, or a related field.</li><li>0-1 years of experience in data science.</li><li>Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn).</li><li>Experience with data visualization tools (Matplotlib, Seaborn).</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and advancement.</li><li>A dynamic and collaborative work environment.</li><li>Health insurance, paid time off, and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves data cleaning, model development, experimentation, analysis, and communication of results to clients.</p>