<p><b>What role you will play in team:</b> Contribute to the development and implementation of machine learning models for various clients across diverse industries.</p><p><b>What you will do:</b> Work with large, complex datasets, building and optimizing models to solve real-world business problems.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and various libraries.</li><li>Perform data cleaning, transformation, and feature engineering.</li><li>Conduct rigorous statistical analysis and interpret results.</li><li>Collaborate effectively within cross-functional teams.</li><li>Document models and processes clearly and concisely.</li><li>Present findings and recommendations to both technical and non-technical audiences.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Computer Science).</li><li>Experience with Python, Scikit-learn, TensorFlow/Keras, or similar libraries.</li><li>Strong understanding of statistical modeling techniques.</li><li>Experience with big data technologies (e.g., Spark, Hadoop) is a plus.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>A collaborative and innovative work environment.</li><li>Health Insurance</li><li>Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> A typical day would involve data exploration, model building, code development, collaboration with team members, and potentially client interaction.</p>