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About the Role
Join Micron's Smart Manufacturing and AI journey as a Data Scientist, where you will transform massive volumes of manufacturing and business data into predictive insights, intelligent solutions, and measurable business impact. Leverage advanced analytics, machine learning, AI, and agentic AI technologies to tackle complex challenges in a sophisticated semiconductor manufacturing environment. Partner with various teams to develop innovative data-driven solutions that improve yield, quality, efficiency, and operational excellence. Work with cutting-edge AI technologies, build scalable machine learning applications, and drive the next generation of intelligent manufacturing solutions.
Responsibilities
- Develop predictive models, machine learning solutions, and advanced analytics applications using large-scale manufacturing datasets.
- Perform exploratory data analysis to uncover patterns, trends, and actionable insights.
- Extract, integrate, transform, cleanse, and validate data from multiple structured and unstructured data sources.
- Develop and deploy AI and agentic AI solutions to improve manufacturing and business outcomes.
- Design analytical approaches to solve complex business and manufacturing problems using statistical and machine learning techniques.
- Collaborate with Data Engineers, Manufacturing Engineers, UX teams, and business stakeholders to identify opportunities for data-driven improvements.
- Translate analytical findings into actionable recommendations that drive operational efficiency and business value.
- Support continuous improvement initiatives through data analysis, automation, and process optimization.
- Evaluate and adopt emerging data science, AI, and analytics technologies where appropriate.
- Communicate technical findings and recommendations to technical and non-technical stakeholders.
- Contribute to cross-functional projects involving manufacturing systems, data platforms, and analytics solutions.
- Utilize AI-enabled tools and develop AI-driven solutions responsibly to improve efficiency, innovation, and business outcomes.
- Maintain awareness of industry trends and advancements in machine learning, AI, and data science.
Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related quantitative discipline.
- Experience in statistical modeling, feature engineering, and machine learning techniques, including supervised, unsupervised, and semi-supervised learning.
- Experience extracting and analyzing data using SQL and other query languages.
- Experience applying data cleansing, outlier detection, and missing data handling techniques.
- Experience working with large and complex datasets.
- Experience in AI and agentic AI solution development.
- Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
Skills
- Proficiency in Python and/or R programming.
- Strong knowledge of machine learning and statistical modeling techniques.
- SQL and database querying expertise.
- Experience developing AI and agentic AI solutions.
- Strong software development skills.
- Strong analytical and critical thinking skills.
- Strong verbal and written communication skills.
- Ability to collaborate effectively across cross-functional teams.
- Ability to manage multiple priorities and work independently.
- Strong learning agility and intellectual curiosity.
- Experience with PySpark, SparkR, or SparklyR.
- Experience with Google Cloud Platform (GCP).
- Experience with Snowflake or other enterprise SQL database platforms.
- Experience with TensorFlow or similar machine learning frameworks.
- Experience with SSIS and ETL processes.
- Experience with JavaScript, Angular, Tableau, and/or Power BI.
- Experience working with time-series data, image analytics, semi-supervised learning, or datasets with frequently changing distributions.
- Experience working with Manufacturing Execution Systems (MES).
- Experience in semiconductor manufacturing environments.
- Publications in conferences such as CVPR, NeurIPS, ICML, KDD, or similar.
Education Level
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related quantitative discipline.
- Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
About the Company
- 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.
- 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.
Equal Opportunity
- 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 hrsupport_sg@micron.com
- 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.