Senior Data Scientist

Apply here:
https://micron.wd1.myworkdayjobs.com/External/job/Taoyuan---Fab-11-Taiwan/SR-DATA-ENGINEER_JR90336

Design, build, and maintain scalable, reliable, and high-availability data platforms and data pipelines to support analytics and data-driven applications

Collaborate closely with data scientists, analysts, product teams, and software engineers to translate business requirements into robust and reusable data solutions

Own data modeling and data architecture design to ensure data consistency, accuracy, and long-term maintainability

Develop and optimize both batch and real-time (streaming) data processing pipelines to improve performance and system stability

Ensure data quality, data governance, and data security through monitoring, validation, and anomaly detection mechanisms

Continuously improve existing data pipelines and platforms through performance tuning, cost optimization, and technical debt reduction

Participate in technology selection for data platforms and tools (e.g., databases, cloud services, data processing frameworks) and promote engineering best practices

Create and maintain technical documentation to support knowledge sharing and long-term system sustainability

Mentor and support junior data engineers, contributing to the overall technical growth and engineering excellence of the team

Stay current with emerging trends and technologies in data engineering and big data, and evaluate their potential adoption and business value

Responsibilities include, but not limited to:

Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.

Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.

Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

Strong software development skills.

Strong verbal and written communication skills.

Experience with or desire to learn:

Machine learning and other advanced analytical methods

Fluency in Python and SQL

GCP and/or another SQL databases

Experience with or desire to learn Google Cloud Vertex AI, AI/ML pipeline development, LLM applications, AI agents, Model Context Protocol (MCP), and skill/tool orchestration frameworks for enterprise AI solutions.

Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus

AI Relevant Job Responsibilities:

• Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.

• Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.

• Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business

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