Data Scientist

Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
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 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.
Responsibilities include, 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 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.
• 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.

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.
• 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.

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).

About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
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.