The Senior Data Scientist will analyze and extract insights from semiconductor manufacturing data, develop predictive models, create visualizations, and collaborate with cross-functional teams.
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 Senior 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 cross-functional teams to develop innovative solutions that enhance product performance, yield, and reliability.
RESPONSIBILITIES:
MINIMUM QUALIFICATIONS:
Education/Experience:
Technical and Project Skills:
Technologies:
Additional details:
PREFERRED QUALIFICATIONS:
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 [email protected] 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.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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 Senior 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 cross-functional teams to develop innovative solutions that enhance product performance, yield, and reliability.
RESPONSIBILITIES:
- 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 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.
MINIMUM QUALIFICATIONS:
Education/Experience:
- 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.
Technical and Project Skills:
- 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.
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. but the capability to learn any new package is most important.
- Familiar 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
- High capability to learn any new package.
- Packaging: npm, Jenkins
- Backend/API:
- Languages: Python
- 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
Additional details:
- Ability to conduct and/or attend meetings when needed in the evening.
- Excellent communication skills to collaborate with cross-functional teams.
- Adaptability and willingness to learn new technologies and methodologies.
PREFERRED QUALIFICATIONS:
- Prior experience in semiconductor manufacturing, yield optimization, or process control is highly desirable.
- 5 plus years in semiconductor manufacturing or artificial intelligence focused on yield ramp.
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 [email protected] 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.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Top Skills
Bitbucket
CSS
Docker
Elasticsearch
Fastapi
Flask
Google Cloud Platform
HTML
JavaScript
Kubernetes
MongoDB
Mssql
MySQL
Oracle
Pandas
Postgres
Python
PyTorch
SQL
Streamlit
TensorFlow
Typescript
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