Sr Data Scientist

Micron Technology; Boise (ID); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision plans

Paid time off

Paid holidays

Job summary

Micron Technology in Boise, Idaho seeks a Data Science Engineer to uncover patterns in large manufacturing datasets and develop predictive models to optimize wafer production processes. You will collaborate with data scientists, engineers, and domain experts to translate business questions into data-driven solutions and deploy scalable prototypes.

The role emphasizes exploratory data analysis, feature engineering, model development, and clear visualizations to communicate insights to

Qualifications

• 3+ years applying statistical modeling, machine learning, and deep learning in engineering or industrial environments.
• Proficient in translating business requirements into data science applications and deploying prototypes.

Responsibilities

• Data Analysis & Anomaly Detection: Perform EDA on manufacturing data and identify anomalies.
• Model Development & Feature Engineering: Develop predictive models to optimize processes and extract features.
• Visualization: Build clear visualizations to communicate findings to stakeholders.
• Collaboration: Work with engineers and domain experts to translate requirements into data-driven solutions.

Skills

Python

PyTorch

scikit-learn

SQL

Data cleaning

EDA

Communication

Education

B.S./M.S. in Data Science or related field

PhD (preferred)

Tools

Google Cloud Platform

Job description

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 Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you'll help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be outstanding opportunities to perform exploratory and new solution development activities.

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: Build 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 progress, and new technologies in data science and semiconductor manufacturing

Minimum Qualifications

• B.S./M.S. in Data Science, Computer Science, Industrial Engineering, or related engineering field, with 3+ years of experience applying statistical modeling, machine learning, and deep learning in engineering or industrial environments.
• Strong programming and data skills, including Python, machine learning frameworks (e.g., PyTorch, scikit-learn), SQL, data extraction, cleansing, outlier detection, and missing data analysis.
• Proven ability to rapidly develop prototype solutions, translate business requirements into data science applications, and deploy scalable solutions into production environments.
• Possesses excellent communication and collaboration skills. Explains complex models and results clearly to non-technical leaders and team members. Works independently and completes initiatives with internal and external partners.
• Proactive problem solver passionate about learning semiconductor manufacturing. Works with terabytes to petabytes of data to solve memory wafer and process-related challenges in diverse environments.

Preferred Qualifications

• PhD (preferred) or equivalent experience in a related field, with expertise in developing scalable, end-to-end data science applications.
• Experience with Google Cloud Platform or other large-scale data platforms, including robust full-stack development capabilities.
• Strong background in Generative AI technologies, including RAG, LLM fine-tuning, agentic AI solutions, and root cause analysis (RCA) algorithms for solving complex industrial challenges.
• Experience with Manufacturing Execution Systems (MES), wafer manufacturing processes, and yield analysis in semiconductor environments.
• Publications at top conferences (CVPR, NeurIPS, ICML, KDD, etc.) are a plus, though the role is focused on applied industry solutions rather than research.

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.

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.