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About the Role
As a Senior Data Scientist, you will employ techniques from mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data, develop predictive models, and generate actionable insights. You will collaborate with experienced professionals to identify project questions and improve existing tools, developing software, algorithms, and automated processes for data cleansing, integration, and evaluation. This role offers significant opportunities for exploratory and new solution development.
Responsibilities
- Design and implement computer vision systems & deep learning models for object detection, image segmentation, anomaly detection, and automated inspection, including experience with cameras and vision inspection systems.
- Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.
- Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools.
- Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for product improvement.
- Interact with product and service teams to identify questions and issues for data analysis and experiments.
- Deploy data science models and lead the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
- Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
Requirements
- Degree in Computer Science, Statistics, or Data Science with minimum of 3 years of data science experience.
- Foundation in statistical modeling, advanced analytics, and modern machine learning techniques.
- Experience in semiconductor yield analysis & process optimization (e.g analyzing FDC, SPC, Probe data).
- Minimum of 3 years' experience in computer vision and deep learning in image analytics with good understanding of image processing techniques.
- Experience in deploying end-to-end production grade AI solution in cloud platforms such as Google Cloud Platform (GCP).
- Proficiency with web development such as Angular or FastAPI or Docker.
- Strong proficiency in Python, with minimum of 3 years hands-on experience in SQL.
- Excellent communication and presentation skills, able to effectively convey complex data insights to non-technical audiences.
- Excellent problem-solving skills.
- Able to work independently and collaborate effectively with diverse teams.
- Proven ability to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.
- Experience working with and applying generative AI and large language models (LLMs) in various areas such as image generation.
- Experience in optimizing production ML Models for performance and scalability.
Skills
- Computer vision
- Deep learning
- Object detection
- Image segmentation
- Anomaly detection
- Automated inspection
- Cameras
- Vision inspection systems
- Few-shot learning
- Generative AI
- Multimodal fusion
- Text analysis
- Image analysis
- Time-series analysis
- Manufacturing challenges
- Environmental monitoring
- Project management
- Technical writing
- Data science tools
- Big data analysis
- Product improvement
- Data analysis
- Experiments
- Model deployment
- Model maintenance
- Model monitoring
- Data insights
- Metadata analysis
- Statistical modeling
- Advanced analytics
- Machine learning
- Semiconductor yield analysis
- Process optimization
- FDC analysis
- SPC analysis
- Probe data analysis
- Image processing
- Google Cloud Platform (GCP)
- Web development
- Angular
- FastAPI
- Docker
- Python
- SQL
- Communication skills
- Presentation skills
- Problem-solving skills
- Large language models (LLMs)
- ML Model optimization
- Performance optimization
- Scalability optimization
Location
- Remote
- Hybrid
Work Type
- Full-time
Experience Level
- Senior
- 3 years of data science experience
- Minimum of 3 years' experience in computer vision and deep learning
- Minimum of 3 years hands-on experience in SQL
Education Level
- Degree in Computer Science, Statistics, or Data Science
About the Company
- 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
Equal Opportunity
- 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.
- 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.