Entry Level Data Analyst jobs in United States

As a Senior 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.

• 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 lead 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.

• Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
• Minimum of 2 years' experience in data science or related roles.
• Minimum of 2 years of Semiconductor process, High Bandwidth Memory process, process control or manufacturing data analysis experience.
• Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
• Experience in applying deep learning / traditional computer vision approach to image analytics.
• Minimum of 1 to 2 years experience with cloud platforms such as Google Cloud Platform (GCP).
• 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 with web development such as Angular, FastAPI, Docker.
• Proficiency in Python.
• Superb 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.

• Experience working with and applying generative AI and large language models (LLMs) in various areas such as image generation.
• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role).
• Experience in deploying ML models into production and optimizing for performance and scalability.