Senior Data Scientist

Micron•Boise, ID

65d

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
IoT Device Domain: Strong understanding of Operating systems (preferably Linux) Networking/Communication protocols (eg - websockets).
Experience with python libraries and javascript is recommended.
Hands-on experience with Linux OS, RPi, Odroids (Embedded systems).
Understanding of different communication protocols used for communicating between the sensors, drivers for embedded systems and choosing the sensors accordingly.
Experience with frameworks and libraries such as OpenCV, Thingworx, Ansible, and basic DBMS (SQL).
Ability to preprocess, clean large, noisy data generated from sensors.

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.
IoT: Work with enablement sensor data collection from edge devices as well as management of data pipelines.
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.

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.

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