Manager, Data Scientist

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

As a Data Scientist Manager, you will lead and develop a high-performing team to deliver business value through advanced analytics and data-driven solutions. This role focuses on strategic planning, execution, and continuous improvement of data science initiatives that support operational excellence and innovation, particularly in the semiconductor industry.

Key Responsibilities

• Set clear Data Science direction and approach on respective initiatives that align and support business deliverables for PQ pillar
• Build Team Capability: Mentor team members, develop skills, and foster collaboration.
• Drive Execution: Manage project timelines, remove impediments, and ensure quality outcomes.
• Integrate Technology: Optimize processes and enable predictive insights through data systems and technology.
• Cross-Functional Collaboration: Partner with peers, senior and mid-level management to implement scalable solutions.
• Leadership: Effectively lead and present to small and large groups, ensuring strong stakeholder engagement.

Requirements

• Education: At least a Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering.
• Experience:
  • Minimum 3 years of working experience as a Data Scientist, preferably in Quality-related projects.
  • Proven track record in data science methodologies, machine learning, and statistical modeling, with hands-on experience in Generative AI/LLM projects.
  • Familiarity with processes, systems, and solutions in the semiconductor industry (mandatory).
  • Experience in statistical modeling, feature extraction and analysis, and supervised/unsupervised/semi-supervised learning.
• Technical Skills:
  • Proficiency in Python, R, and ability to generate UI.
  • Experience with data platforms such as GCP and Snowflake.
• Soft Skills:
  • Strong leadership and people management skills.
  • Excellent communication skills (written and verbal) and stakeholder management.
  • Ability to work multi-functionally with peers, senior and mid-level management.
  • Excellent interpersonal skills with ability to lead and present to small and large groups.
  • Strong analytical and problem-solving skills.
  • Highly organized and adaptable to changing business needs.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

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