SENIOR/STAFF DATA SCIENTIST, SMART MFG & AI

Job Summary

At Micron, we are transforming the future of semiconductor manufacturing through data, artificial intelligence, and advanced analytics. As a Senior/Staff Data Scientist, you will leverage massive volumes of manufacturing, engineering, and business data to develop predictive models, uncover actionable insights, and drive intelligent decision-making across our global operations.

In this role, you will collaborate with world-class engineers, data scientists, and business leaders to solve complex real-world challenges using machine learning, statistical modeling, and advanced analytics. You will have the opportunity to develop innovative AI-driven solutions that improve product quality, optimize manufacturing performance, accelerate operational excellence, and shape the future of intelligent manufacturing.

If you are passionate about turning data into impactful business solutions and thrive in a highly automated, data-rich environment, we invite you to join our team and make a meaningful difference.

Responsibilities

• Collaborate with cross-functional teams including Engineering, Manufacturing, Product, and Business stakeholders to identify opportunities for data-driven solutions and process improvements.

• Analyze large and complex datasets to uncover trends, patterns, and actionable insights that drive business value.

• Develop, validate, and deploy statistical models, machine learning algorithms, and predictive analytics solutions to address manufacturing and business challenges.

• Lead moderately complex analytics and machine learning projects from problem definition through deployment and adoption.

• Perform exploratory data analysis, root cause investigations, and advanced statistical analysis to solve real-world operational problems.

• Design and implement scalable data preparation, cleansing, transformation, and feature engineering workflows.

• Partner with Data Engineers and software teams to operationalize machine learning models and advanced analytics solutions.

• Communicate technical findings and recommendations effectively to both technical and non-technical stakeholders.

• Research, evaluate, and apply emerging AI, machine learning, and advanced analytics techniques to drive innovation and continuous improvement.

• Provide technical guidance and mentor junior team members on data science methodologies, best practices, and analytical approaches.

• Ensure data science solutions align with Micron's Responsible AI, security, privacy, compliance, and data governance standards.

• Ability to apply baseline digital fluency and role-appropriate AI literacy to responsibly and effectively utilize AI-enabled tools for research, analysis, content creation, problem-solving, operational tasks, and business outcomes.

• Demonstrated ability to leverage AI and machine learning technologies to enhance productivity, accelerate innovation, and improve decision-making.

• Commitment to continuous learning and the responsible use of AI while adhering to Micron's Responsible AI, security, privacy, compliance, and data governance requirements.

Minimum Required Qualifications & Experience

• Bachelor's, Master's, or PhD degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative discipline.

• 5 to 8 years of relevant experience in Data Science, Machine Learning, Artificial Intelligence, Advanced Analytics, or a related field.

• Proven experience developing and deploying statistical models, machine learning algorithms, and predictive analytics solutions to solve business, engineering, or manufacturing problems.

• Experience working with large and complex datasets, including data extraction, cleansing, transformation, feature engineering, and model development.

• Experience using SQL and other database query languages to access, manipulate, and analyze data.

• Strong software development and programming skills with experience building scalable analytics solutions.

• Demonstrated ability to independently drive projects and influence stakeholders through data-driven insights.

• Excellent verbal and written communication skills with the ability to present technical concepts to diverse audiences.

Must-Have Technical Skills

• Statistical modeling and machine learning techniques, including supervised, unsupervised, and semi-supervised learning.

• Proficiency in Python and/or R.

• Strong SQL and database querying skills.

• Data preparation, feature engineering, exploratory data analysis, and model validation.

• Software development and analytics solution development.

• Experience with large-scale data processing and analytics workflows.

Must-Have Soft Skills

• Strong analytical and critical thinking skills with a data-driven mindset.

• Excellent problem-solving and structured thinking abilities.

• Effective communication and presentation skills.

• Ability to collaborate and influence across diverse technical and business teams.

• Self-motivated with strong ownership and the ability to manage multiple priorities in a fast-paced environment.

• Curiosity and continuous learning mindset to explore emerging technologies and innovative approaches.

Highly Desirable / Preferred Qualifications

• Master's or PhD degree in Data Science, Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related field.

• Experience with distributed computing frameworks such as PySpark, SparkR, SparklyR, or Apache Spark.

• Experience with Hadoop ecosystem technologies, including Hive, Spark, and HBase.

• Experience with data visualization and analytics tools such as Tableau.

• Experience working with time-series data, image analytics, anomaly detection, or datasets with evolving distributions.

• Experience with Manufacturing Execution Systems (MES).

• Experience applying AI, machine learning, or advanced analytics within semiconductor manufacturing or other highly automated industrial environments.

• Familiarity with cloud-based data science and machine learning platforms.

• Experience mentoring junior data scientists or leading technical initiatives.