Senior Data Scientist at Micron Technology

Boise, Idaho, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Anomaly Detection, Machine Learning, Predictive Modeling, Feature Engineering, Data Visualization, IoT, Collaboration, Continuous Improvement, Python, SQL, AGILE, Process Control, Embedded Systems, OpenCV, Networking

Industry

Semiconductor Manufacturing

Description

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. 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. Ability to conduct and/or attend meetings when needed in the evening. 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

Perform exploratory data analysis on semiconductor manufacturing data and develop predictive models to optimize manufacturing processes. Collaborate with engineers and domain experts to translate business requirements into data-driven solutions.