This role involves developing software programs and algorithms to cleanse, integrate, and evaluate large datasets from multiple disparate sources within the semiconductor industry
Job Summary
This role involves developing software programs and algorithms to cleanse, integrate, and evaluate large datasets from multiple disparate sources within the semiconductor industry.
The successful candidate will deploy data science models and lead the end-to-end life cycle including solution design, development, and monitoring.
You will interact with product teams and business managers to identify questions, perform experiments, and communicate actionable insights derived from big data analysis.
Matching Summary
Match Score: 85
This role involves developing software programs and algorithms to cleanse, integrate, and evaluate large datasets from multiple disparate sources within the semiconductor industry.
Skills & Requirements
Must-have
Python programming proficiency
Statistical modeling and advanced analytics
Deep learning and computer vision
SQL database extraction and cleansing
GCP cloud platform experience
Tableau or PowerBI visualization
Angular FastAPI Docker web development
Nice-to-have
Generative AI and LLM application
Top-tier conference contributions CVPR NeurIPS
ML model deployment optimization
Cross-functional team collaboration
Complex insight communication skills
Key Requirements
Degree in Computer Science Mathematics Statistics Data Science
Minimum 2 years data science experience
Minimum 2 years semiconductor process or manufacturing data analysis