Senior/Staff Data Scientist, Smart Mfg & AI

About the role

Micron is transforming semiconductor manufacturing through data, artificial intelligence and advanced analytics. As a Senior/Staff Data Scientist, you will work with engineers, data scientists and business leaders to turn manufacturing, engineering and business data into predictive models and actionable insights. The role sits in the Smart Mfg & AI team and focuses on improving product quality, manufacturing performance and operational excellence.

Key responsibilities

• Collaborate with Engineering, Manufacturing, Product and Business teams to find data-driven solutions and process improvements.
• Analyze large, complex datasets to uncover trends, patterns and business value.
• Develop, validate and deploy statistical models, machine learning algorithms and predictive analytics solutions.
• Lead analytics and machine learning projects from problem definition through deployment and adoption.
• Perform exploratory data analysis, root cause investigations and advanced statistical analysis.
• Design data preparation, cleansing, transformation and feature engineering workflows.
• Partner with Data Engineers and software teams to operationalize models and analytics.
• Communicate technical findings to technical and non-technical stakeholders.
• Evaluate emerging AI, machine learning and analytics techniques and mentor junior team members.
• Ensure solutions comply with Responsible AI, security, privacy, compliance and data governance standards.

Required profile

• Bachelor's, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics or a related quantitative discipline.
• 5 to 8 years of experience in Data Science, Machine Learning, AI, Advanced Analytics or a related field.
• Proven experience developing and deploying statistical models, ML algorithms and predictive analytics for business, engineering or manufacturing problems.
• Experience with large datasets, SQL, and building scalable analytics solutions.
• Ability to lead projects, communicate technical concepts and mentor others.

Required skills

• Supervised, unsupervised and semi-supervised machine learning and statistical modeling.
• Proficiency in Python and/or R.
• Strong SQL and database querying skills.
• Data preparation, feature engineering, EDA and model validation.
• Preferred: PySpark, Spark, Hadoop ecosystem (Hive, HBase), Tableau, MES, time-series data, image analytics, anomaly detection, cloud ML platforms, and semiconductor manufacturing experience.