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Senior System and Analog Data Scientist
В офисеПолная занятостьData ScienceSemiconductor Manufacturing
Seeking a data scientist to apply advanced analytics and machine learning to semiconductor system-on-chip and analog circuit design, verification, testing, and performance optimization.
Обязанности
- Build data collection, cleaning, and transformation pipelines for system and analog design and test data.
- Apply statistical analysis, machine learning, and deep learning to identify patterns, anomalies, and correlations.
- Create predictive models for circuit performance, reliability, and yield.
- Design experiments to validate models and assess data-driven effects on product development.
- Integrate data science solutions with design, verification, and test engineering workflows.
- Present analytical findings through clear visualizations and reports.
- Track developments in data science, machine learning, and semiconductor design methods.
Требования
- Bachelor’s, master’s, or doctoral degree in electrical engineering, computer science, data science, statistics, or a related quantitative field.
- At least 3 years of experience applying data science and machine learning to engineering problems.
- Strong Python skills, including Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch; R experience is also relevant.
- Experience with statistical modeling, regression, classification, clustering, time-series analysis, and deep learning.
- Strong problem-solving, communication, collaboration, and presentation skills.
Будет плюсом
- Experience with data warehousing, SQL, and big data technologies such as Spark or Hadoop.
- Understanding of semiconductor design flows, analog circuit fundamentals, and system-level architectures.