Semiconductor Engineer

Key Responsibilities • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools. • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. • Collaborate with data scientists to translate models into production-ready code. • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise. • Design and optimize mathematical programming and machine learning models for real-world applications. • Work independently to break down complex problems into actionable development tasks. • Ensure code quality, scalability, and maintainability in a production environment. • Contribute to sprint planning, documentation, and cross-functional collaboration. • Collaborate, coach, and learn with a growing team of experienced Data Scientists. • Stay connected with external sources of ideas through conferences and community engagements Requirements • 7 years of experience working as a Data Scientist • Hands-on experience with enterprise data science solutions, in Semi-conducor industry • Proficiency in Python, SQL, and PySpark. • Experience with Databricks or similar enterprise cloud environments. • Experience with production-level coding and deployment practices. • Familiarity with machine learning techniques and mathematical optimization methods. • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. • Self-starter with an ownership mindset and the ability to work with minimal supervision.