Senior Data Scientist – Semiconductor Industry

About the Role We are looking for a Senior Data Scientist with a strong blend of analytical expertise, hands-on experience in optimizing replenishment strategies and resource allocation within supply chains, and solid production-grade coding skills. You will work closely with cross-functional teams to drive high-impact data science solutions in the semiconductor industry. Key Responsibilities • Partner with business stakeholders to design innovative, data-driven solutions using cutting-edge tools and techniques. • Develop, test, and deploy data science models using Python, SQL, and PySpark on platforms like Databricks. • Translate machine learning and optimization models into scalable, production-ready code. • Build and maintain CI/CD pipelines and manage repositories using GitHub Enterprise. • Design, validate, and optimize mathematical programming and ML models for real-world applications. • Break down complex business problems into actionable development tasks. • Ensure high standards of code quality, scalability, and maintainability. • Participate in sprint planning, documentation, and cross-functional collaboration. • Mentor, collaborate, and grow with a team of skilled Data Scientists. • Stay updated through conferences, workshops, and community engagements. Requirements • 7+ years of experience as a Data Scientist. • Proven experience with enterprise-level data science solutions in the Semiconductor industry. • Strong proficiency in Python, SQL, and PySpark. • Experience with Databricks or similar cloud-based data platforms. • Hands-on experience with production model deployment and coding best practices. • Familiarity with machine learning, mathematical optimization, and ML pipeline frameworks. • Experience with libraries such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. • A self-starter with strong ownership, problem-solving skills, and the ability to work independently.