Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
As a Data Scientist at Micron Technologies, you will play a crucial role in analyzing and extracting valuable insights from large datasets related to semiconductor manufacturing, process optimization, and quality control. You'll collaborate with multi-functional teams to develop innovative solutions that improve product performance, yield, and reliability.
RESPONSIBILITIES
Data Analysis: Perform exploratory data analysis (EDA) on semiconductor manufacturing data, including wafer fabrication, yield, and defect rates.
Model Development: Develop predictive models using machine learning techniques (such as regression, classification, and clustering) to optimize manufacturing processes and improve product quality.
Feature Engineering: Extract relevant features from raw data, considering factors like material properties, process parameters, and environmental conditions.
Anomaly Detection: Identify anomalies and outliers in semiconductor production data, suggesting corrective actions to improve yield.
Collaboration: Work closely with engineers, physicists, and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions.
Visualization: Build clear and informative visualizations to communicate findings and insights to collaborators.
Continuous Improvement: Stay up to date with industry trends, research advancements, and emerging technologies in data science and semiconductor manufacturing.
QUALIFICATIONS
Education:
Master’s or Ph.D. in Data Analytics, Data Science, or related field with practical experience with Virtual Metrology, AI, process control, yield improvement, quality control, semiconductor process engineering, image analytics, or related semiconductor field focus.
EXPERIENCE
Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable.
Technical Skills:
Proficiency in Python,
Strong knowledge of machine learning algorithms and statistical techniques.
Familiarity with web application and reporting, Experience with SQL and database management
Technologies:
ML frameworks: Decision trees, Clustering, Regression, Neural Networks, NLP, Pytorch, Big Data, Tensorflow, Pandas, Streamlit
Tools and technologies:
Docker, Containerization, Kubernetes, Jenkins, Ansible, Elasticsearch, SSL, Microservices, data visualization tools (e.g., Streamlit, Tableau, PowerBI, etc.).
Cloud expertise:
Google Cloud Platform, OpenShift Container Platform
AI Skills:
AI specialization and Virtual Metrology/Modeling/Computation:
Python library sklearn, xgboost, pycaret, etc. with the ability to learn any new package.
Knowledgeable with the general process of data science work like data extraction, feature extraction, feature selection and modeling.
Familiar with the skills to deal with time series data (feature extraction, modelling, similarity measure of time series).
Image specialization:
Familiar with deep learning network CNN and package keras.
Frontend:
Languages: HTML, CSS, JavaScript, Typescript
Frameworks/Libraries: Angular, HighCharts, Plotly, AG Grid, BootStrap, Ngx Bootstrap, RxJS
Packaging: npm, Jenkins
Backend/API:
Languages: Python,
Preferred, but not required: Java, C#, PHP, Perl, C++
Frameworks: Flask, FastAPI, Experience with RESTful APIs, Minor experience with WSLs
Databases: MySQL, MSSQL, Oracle, PostgreSQL, MongoDB, Neo4j, BigQuery SQL, Snowflake SQL, basic understanding of SSL
Tools:
Git, Bitbucket
Soft Skills:
Analytical approach and problem-solving abilities.
Strong communication skills to work effectively with teams from various functions.
Adaptability and willingness to learn new technologies and methodologies.
Project Skills:
AGILE, Waterfall, Scrum, Software Development Lifecycle, JIRA, Change management, Release management, Configuration management
Schedule: Ability to conduct and/or attend meetings when needed in the evening.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.