Sr Data Scientist

Micron Technology • Boise, ID

1d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.
• Build clear and informative visualizations to communicate findings and insights to stakeholders.
• Work closely with engineers and domain experts to understand semiconductor processes and translate business requirements into data-driven solutions.
• Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing.

Benefits

• Choice of medical, dental and vision plans
• Benefit programs that help protect your income if you are unable to work due to illness or injury
• Paid family leave
• Robust paid time-off program
• Paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree