<p><b>What role you will play in team:</b>  You'll be a crucial member of our data science team, contributing to projects focused on optimizing industrial processes and predictive maintenance.</p><p><b>What you will do:</b> You'll leverage your expertise in machine learning and data analysis to build models that improve efficiency and reduce downtime.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for predictive maintenance and process optimization.</li><li>Analyze large datasets from industrial equipment and processes.</li><li>Collaborate with engineers and domain experts to define project requirements and interpret results.</li><li>Deploy models into production environments and monitor performance.</li><li>Communicate findings and recommendations to stakeholders.</li><li>Contribute to the development of innovative data-driven solutions.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in Data Science, Computer Science, or a related field.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., scikit-learn, TensorFlow).</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent communication and problem-solving skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and supportive work environment.</li><li>Work from home option available.</li></ul></p><p><b>A Day in the Life:</b> A typical day would involve analyzing data, building models, collaborating with engineers, and presenting results to stakeholders.</p>