
Leading company in the technology industry
SR DATA SCIENTIST at Micron
About the role
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.
Key Responsibilities
- Yield & Process Optimization: Collaborate with semiconductor manufacturing engineering teams to analyze inline/param/probe data to identify top yield detractors and drive continuous improvement.
- Data Pipeline & Automation: Extract, cleanse, and analyze datasets from SQL databases, sensor networks, and fabrication tool logs to support semiconductor manufacturing operations.
- Advanced Analytics & Modeling: Apply data science techniques, statistical modeling, and machine learning to solve yield issues and support defect reduction strategies.
- Experimentation Support: Assist process and integration engineers in running and analyzing Design of Experiments (DOE) to enhance process capabilities and margins.
- Visualization & Communication: Develop automated reports and dashboards using visualization tools (e.g., Dash, Plotly, Angular) to communicate technical concepts and project outcomes effectively to engineering stakeholders.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, AI, or a related Engineering field.
- Minimum 3 years of hands-on experience in data science, analytics, or scripting applications.
- Willingness to learn semiconductor manufacturing principles and collaborate closely with equipment and integration engineers to resolve production issues.
Required Technical Experience
- Programming & Data Engineering: Strong Python programming skills and working experience with SQL for data extraction and manipulation.
- Statistical Analysis: Familiarity with statistical tools, methodologies (such as SPC, DOE, or FDC/EDA), and data-driven problem solving.
- Data Visualization: At least 2 year of working experience applying data visualization tools (e.g., Dash, Plotly, Angular) to present complex engineering data clearly.
Preferred Experience
- Prior experience or internship in the semiconductor industry, electronics manufacturing, or related fields.
- Basic understanding of semiconductor fabrication processes, equipment, and device physics (e.g., CMOS basic knowledge).
- Familiarity with advanced analytics or computer-based analysis for manufacturing and yield applications.
- Knowledge of memory architecture (DRAM/NAND).
Required Soft Skills
Effective communicator and collaborator, capable of bridging the gap between data science and traditional semiconductor engineering teams.
Analytical and problem-solving mentality with a demonstrated commitment to quality and continuous improvement in a fast-paced environment.
Proven ability to work independently, manage multiple priorities, and deliver high-quality results.
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 hrsupport_sg@micron.com
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.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Required skills
Data science
Machine learning
Statistical modeling
SQL
Data cleansing
Yield analysis
DOE analysis
Dashboard development
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About Micron

Micron
PublicMicron Technology is a global leader in memory and storage solutions, manufacturing DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications.
10,001+
Employees
Boise
Headquarters
$100B
Valuation
Reviews
10 reviews
3.6
10 reviews
Work-life balance
2.8
Compensation
3.5
Culture
4.1
Career
2.7
Management
3.0
65%
Recommend to a friend
Pros
Supportive management and great team culture
Excellent health benefits and compensation
Cutting-edge technology and interesting projects
Cons
Long hours and heavy workload
High pressure environment leading to burnout
Limited career advancement opportunities
Salary Ranges
37 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Science Engineer
1 reports
$143,960
total per year
Base
$110,739
Stock
-
Bonus
-
$143,960
$143,960
Interview experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round Interview
5
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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