Senior Data Scientist

Micron Technology • Boise, ID

21h

About The Position

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.

Requirements

• 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.
• 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
• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree