As a Data Scientist 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 will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Primary Responsibility, but not limited to

Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product improvement.
Interact with product and service teams to identify questions and issues for data analysis and experiments.
Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Deploy data science models and own the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
Identify relevant insights from large data and metadata sources interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications:

Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
Proficiency with data visualization tools (Tableau, PowerBI etc) and techniques.
Proficiency building interactive UIs using frameworks (Streamlit, React, Angular, or similar) based on UI/UX principles.
Proficiency in Python and other programming skills.
Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.
Excellent problem-solving skills.
Able to work independently and collaborate effectively with diverse teams.
Proven ability to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one's scope of work.

Preferred Qualifications:

Experience with cloud platforms (GCP, AWS etc) and/or Cloud certifications.
Exposure to semiconductor industry.
Experience in web development.
Experience with generative AI and large language models (LLMs), including RAG, LLM tuning, and development of agents.
Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role).
Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.

Data Scientist, SMAI