<p><b>What role you will play in team:</b> You will be part of a team applying advanced analytics to improve efficiency and innovation across Siemens operations.  You will collaborate with engineers and business leaders.</p><p><b>What you will do:</b> You will develop and deploy machine learning models to solve real-world business problems, and you will communicate results effectively to stakeholders.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models using Python and relevant libraries.</li><li>Work with large datasets, performing data cleaning, feature engineering, and model selection.</li><li>Evaluate model performance and communicate findings to stakeholders.</li><li>Deploy models into production environments.</li><li>Collaborate with engineers and business leaders to identify opportunities for applying data science.</li><li>Stay current on the latest advancements in data science and machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Data Science, Statistics, Computer Science, or a related field.</li><li>Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Experience with various machine learning algorithms (e.g., regression, classification, clustering).</li><li>Excellent analytical and problem-solving skills.</li><li>Strong communication and presentation skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and career growth.</li><li>A collaborative and innovative work environment.</li></ul></p><p><b>A Day in the Life:</b> A day might involve data exploration, model development, model evaluation, and communication of findings to stakeholders.</p>