<p><b>What role you will play in team:</b> You will join a team of data scientists working on cutting-edge projects related to semiconductor manufacturing and process optimization.</p><p><b>What you will do:</b> You will utilize advanced statistical modeling and machine learning techniques to analyze large datasets, develop predictive models and extract actionable insights.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning models for process optimization</li><li>Analyze large datasets to identify trends and patterns</li><li>Develop predictive models to improve manufacturing efficiency</li><li>Communicate findings through reports and presentations</li><li>Collaborate with engineers and other data scientists</li><li>Stay abreast of the latest advancements in machine learning and data science</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Data Science, Statistics, or related field</li><li>Proficiency in Python or R programming languages</li><li>Experience with machine learning algorithms (e.g., regression, classification, clustering)</li><li>Experience with big data technologies (e.g., Spark, Hadoop)</li><li>Strong communication and presentation skills</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package</li><li>Opportunities to work on cutting-edge technologies</li><li>Collaboration with leading experts in the field</li><li>Professional development opportunities</li><li>Health Insurance, Paid Time Off</li></ul></p><p><b>A Day in the Life:</b> Your day will involve model development, data analysis, collaboration with engineers, and staying up-to-date on the latest research.</p>