<p><b>What role you will play in team:</b>  You'll be a key member of our data science team, contributing to the development and implementation of machine learning models to solve complex business problems.</p><p><b>What you will do:</b> You will be responsible for data cleaning, feature engineering, model building, and model deployment.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models to solve business problems.</li><li>Clean and prepare large datasets for model training.</li><li>Perform feature engineering to improve model performance.</li><li>Evaluate model performance and make improvements.</li><li>Deploy models to production environments.</li><li>Collaborate with other data scientists and engineers.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Data Science, Statistics, or a related field.</li><li>2-4 years of experience as a Data Scientist.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with data visualization tools (Matplotlib, Seaborn).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and growth.</li><li>Work on challenging and impactful projects.</li><li>A collaborative and supportive environment.</li><li>Comprehensive health insurance and other employee benefits.</li></ul></p><p><b>A Day in the Life:</b>A typical day involves data exploration, model building, evaluation, and collaboration with other team members.  You'll also spend time on model deployment and problem-solving.</p>