Senior Data Scientist at Micron Technology

Boise, Idaho, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Anomaly Detection, Machine Learning, Predictive Modeling, Feature Engineering, Visualization, Collaboration, Continuous Improvement, Python, SQL, AGILE, Deep Learning, Image Analytics, Virtual Metrology, Process Control, Yield Optimization

Industry

Semiconductor Manufacturing

Description

Data Analysis & Anomaly Detection: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates. Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield. Model Development & Feature Engineering: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality. Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions. Visualization: Create clear and informative visualizations to communicate findings and insights to stakeholders. Collaboration: Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions Continuous Improvement: Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing. Master's or Ph.D. with a thesis in Engineering, Computer Science, Data Science or related field. Practical experience with Virtual Metrology, AI, process control, yield improvement, quality control, semiconductor process engineering, image analytics, or related semiconductor field focus. 3 plus years in semiconductor manufacturing or artificial intelligence Proficient in Python, with strong knowledge of machine learning algorithms and statistical techniques. Familiarity with web applications and reporting. Experience with SQL and database management. Project experience in AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, and Configuration management. Agents: Experience building intelligent agents using LLMs to support fab operations, enabling autonomous data querying, anomaly detection, and decision support AI specialization and Virtual Metrology/Modeling/Computation: Python library sklearn, xgboost, pycaret, etc. but the capability to learn any new package is most meaningful. Familiar with the general process of data science work like data extraction, feature extraction, feature selection and modeling. Familiar with the skills to take care of time series data (feature extraction, modelling, similarity measure of time series) Image specialization: Familiar with deep learning network CNN and package keras. Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable. 5 plus years in semiconductor manufacturing or artificial intelligence

Responsibilities

Perform exploratory data analysis on semiconductor manufacturing data and identify anomalies to improve yield. Develop predictive models and create visualizations to communicate insights to stakeholders.