<p><b>What role you will play in team:</b>  Contribute to a team developing and deploying machine learning models for various business applications.</p><p><b>What you will do:</b>  You will work on all stages of the data science lifecycle, from data acquisition to model deployment and monitoring.</p><p><b>Key responsibility:</b><ul><li>Perform data cleaning and preprocessing.</li><li>Develop and implement machine learning models.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers to deploy models into production.</li><li>Document and present findings to stakeholders.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field.</li><li>Proficiency in Python or R programming language.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with big data technologies (Spark, Hadoop).</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for career growth and professional development.</li><li>Positive and supportive work environment.</li></ul></p><p><b>A Day in the Life:</b> A typical day involves data exploration, model building, model testing, and collaboration with team members.  You will also regularly communicate with stakeholders.</p>