<p><strong>What role you will play in team:</strong> Collaborate with cross-functional teams to develop data-driven solutions for industrial applications.</p><p><strong>What you will do:</strong> Apply machine learning and statistical techniques to analyze sensor data from industrial equipment.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for predictive maintenance.</li><li>Analyze sensor data from industrial equipment.</li><li>Develop data pipelines and dashboards for monitoring equipment performance.</li><li>Collaborate with engineers and product managers.</li><li>Communicate findings to stakeholders.</li><li>Stay updated on the latest advancements in machine learning and industrial IoT.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in a quantitative field.</li><li>0-1 year experience in data science.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch).</li><li>Understanding of industrial IoT concepts.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>Collaborative work environment.</li><li>Flexible work schedule.</li></ul></p><p><strong>A Day in the Life:</strong>Analyzing data, building models, collaborating with engineers, and presenting your findings to stakeholders.</p>