Senior Data Scientist

The Smart Manufacturing & AI (SMAI) team at Micron drives the digital transformation of semiconductor manufacturing using advanced analytics, machine learning, and AI solutions. Our mission is to enable intelligent, automated, and data-driven operations that enhance efficiency, quality, and innovation across global manufacturing sites.

Role & responsibilities

• Lead the end to end design, development, and deployment of machine learning models and analytical solutions for global manufacturing and engineering operations.
• Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites.
• Provide mentorship and coaching to data scientists and engineers to nurture their technical skills.
• Provide technical consulting and hands-on assistance to site teams to identify, evaluate, and implement optimal solutions.
• Conduct interviews and prototype development to validate use cases and demonstrate successful applications.
• Perform exploratory data analysis and feature engineering on structured and unstructured data.

Technical Skills & Expertise

Must-Have:

• Fluency in Python for data analysis and modeling.
• Strong understanding of statistical modeling, supervised/unsupervised/semi-supervised learning.
• Experience with SQL and data extraction from relational databases.
• Proficiency in cloud-based analytics platforms and distributed computing (e.g., PySpark, Hadoop).
• Experience with TensorFlow, Keras, or similar frameworks.
• Strong software development skills with OOP principles.
• Experience with time-series data, image data, and anomaly detection.
• Familiarity with Manufacturing Execution Systems (MES).
• Familiarity with full-stack development and UI/UX building, including AngularJS experience.

Nice-to-Have:

• Experience with JavaScript, AngularJS 2.0, Tableau for dashboarding and visualization.
• Exposure to SSIS, ETL tools, and API development.
• Knowledge of statistical software and scripting for automated analyses.
• Familiarity with publishing or reviewing papers in CVPR, NIPS, ICML, KDD.
• Cloud knowledge (GCP or similar) is an added advantage.

Leadership & Communication

• Proven ability to lead and manage data science projects and teams.
• Ability to work in a dynamic, fast-paced environment with minimal supervision.
• Proficiency in communicating effectively with globally distributed teams and interested parties.
• Strong interpersonal skills with the ability to influence and present to diverse audiences.