Sr Data Scientist, Smart Mfg & Ai

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. Youll 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 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 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.

MINIMUM QUALIFICATIONS:

Education/Experience:

• Masters 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 Pythonwith 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

• 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.

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 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.

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