Data Science Manager
Description
Apply here: https://micron.wd1.myworkdayjobs.com/zh-TW/External/job/Taichung---AATT-Taiwan/Data-Science-Manager_JR105326
We are seeking an experienced Data Science Manager to lead a team of data scientists and analysts focused on developing data-driven solutions that optimize cost, drive efficiency, and unlock value across procurement and manufacturing value engineering. In this role, you will own the delivery, and people leadership for a portfolio of cost-related analytics and AI initiatives, translating complex business challenges into measurable cost impact. You will also champion the adoption of cutting-edge AI, including Generative AI and agentic systems to accelerate how the team delivers cost solutions.
Key Responsibilities:
Team Leadership & People Management
- Lead, mentor, and grow a team of data scientists.
- Set clear goals, conduct performance reviews, and support career development.
- Foster a collaborative, high-accountability culture of experimentation and continuous learning.
- Manage hiring, onboarding, and resource allocation across projects.
Solution Development & Delivery
- Oversee end-to-end development of models and tools for cost forecasting, cost-leakage/anomaly detection, and scenario/what-if analysis.
- Drive analytics for manufacturing value engineering—identifying cost-down opportunities across design, materials, processes, and supplier options.
- Ensure solutions are production-ready, scalable, and integrated into business workflows and decision-making.
- Establish best practices for model development, validation, monitoring, and governance.
AI Innovation & Emerging Technology
- Drive the evaluation and adoption of cutting-edge AI technologies, Generative AI (LLMs), AI agents and multi-agent systems, and emerging interoperability standards such as Agent-to-Agent (A2A) and the Model Context Protocol (MCP).
- Stay ahead of the rapidly evolving AI landscape and translate new capabilities into practical, responsible business applications.
Qualifications
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Operations Research, Engineering, or a related quantitative field.
- 5+ years of experience in data science / advanced analytics, 1+ year managing or leading teams will be a plus.
- Proven track record of delivering data science solutions that drove measurable cost savings or cost impact.
- Strong proficiency in Python, SQL, and modern ML/statistical methods.
- Experience deploying models into production and working with cloud platforms (GCP, Azure, etc.).
- Hands-on familiarity with Generative AI / LLMs and an understanding of AI agents and agentic workflows.
- Strong business acumen, especially around cost structures, procurement spend, and ROI.
- Excellent communication and stakeholder-management skills.
- Semiconductor industry experience is a strong plus