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# Principal Data Scientist, TPG

- **Company:** Micron Technology, Inc.
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Salary:** $145,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Computer Engineering, Continuous Integration, Decision Support Systems, Graph Database, Python (Programming Language), Machine Learning, OpenShift, Tensorflow, Software Engineering, Workflow Management Systems, Enterprise Search, Supervised Learning, Google Cloud, Feature Engineering, Pytorch, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Scikit Learn, Kubernetes, Information Technology, Xgboost, Data Pipelines, Docker
- **Published:** September 18, 2026
- **Apply:** https://dejobs.org/x/x/B9AF57EFE8B445D5B28A1F035B6D61F0/job/

## About the Role

* Bachelor's degree in Computer Science, Data Science, Electrical/Computer Engineering, Statistics, Mathematics, Physics, or a related technical field.
 * 8 years of relevant experience, or equivalent practical experience.
 * Led complex AI, ML, data science, or software engineering programs as technical lead, directing the work of other engineers.
 * Hands-on machine learning and statistical modeling: supervised learning, feature engineering, validation, performance evaluation, and reading model behavior.
 * Python fluency with PyTorch, TensorFlow, scikit-learn, or XGBoost. Shipped models into production - inference pipelines, APIs, CI/CD, monitoring., * Master's degree or PhD in Computer Science or a related technical field, or equivalent experience.
 * People leadership: mentoring engineers, developing careers, and forming team capability.
 * Semiconductors, memory, storage, electronics, hardware systems, or advanced manufacturing.
 * AI/ML deployed in cloud, hybrid, or on-prem environments - AWS, GCP, Azure, Kubernetes, OpenShift, or Docker.
 * LLMs, RAG, and agentic workflows: agent frameworks, model gateways, knowledge graphs, enterprise search, MCP tool integration, or workflow orchestration.

## Description

* Set the architecture and technical direction for our applied AI, ML, and agentic AI work.
 * Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring.
 * Build the models engineers act on - prediction, diagnosis, optimization, and decision support for semiconductor applications.
 * Ship agentic AI for engineering analysis, knowledge retrieval, workflow automation, and decision support. Define the guardrails and evaluations that earn trust in it.
 * Break wide-open challenges into roadmaps, turning points, and success criteria. Report progress, risk, and model limits plainly to engineers and executives.


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