Data Scientist supporting Boeing Global Services for demand planning and obsolescence. Performing statistical analysis and developing dashboards using tools like R and SQL.
About the role
- Principal Data Scientist at Micron creating AI systems to optimize semiconductor design. Collaborating with engineers to develop data-driven solutions in a leading semiconductor company.
Responsibilities
- Own the creation of AI systems optimizing semiconductor design, product engineering, verification & validation, and manufacturing workflows using large-scale data
- Architect and implement Agentic AI systems that integrate with Modeling tools, EDA tools, design environments, and product/manufacturing test platforms
- Establish and promote Best Known Methods (BKMs) for deploying LLMs and agentic systems in live environments
- Benchmark and evaluate model performance using structured evaluation frameworks
- Collaborate with multi-functional teams—including process engineers, design engineers, product and test engineers, and data scientists to define high-impact problem statements
Requirements
- Master’s, PhD, or equivalent experience in Electrical Engineering, Computer Science, or a related field with 10+ years of demonstrated experience
- Proficient in Python, with five years of experience working with semiconductor design & process datasets
- Proficient in using enterprise data platforms like Snowflake, BigQuery, MSSQL, Oracle, and AWS Redshift for scalable data processing and analysis
- Hands-on experience building and leading AI/ML projects involving LLMs, RAG, and Agentic workflows
- Demonstrated expertise in ML frameworks such as PyTorch or TensorFlow
- Solid understanding of domain-adapted LLM training with practical experience, including pretraining, post training on in-domain synthetic datasets, and model quantization for efficient deployment
- Proven cloud platform experience such as GCP, AWS, or Azure, including deployment of ML pipelines in production environments
- Familiarity with LLM evaluation and benchmarking techniques, including RLHF, timely tuning, and reward modeling for hardware-aware use cases
- Consistent track record to independently drive AI/ML projects from problem prioritization through deployment in semiconductor environments
- Excellent interpersonal experience with the ability to collaborate with process technology, silicon design, design verification, validation, and product engineering teams, and translate sophisticated AI/ML concepts into actionable solutions for hardware development.
Benefits
- Choice of medical, dental and vision plans
- Benefit programs for income protection due to illness or injury
- Paid family leave
- Robust paid time-off program
- Paid holidays
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
CRM and Data Science Lead turning complex pharma commercial data into actionable growth insights. Collaborating with Sales and Marketing teams for operationalizing strategies.
Senior Data Scientist designing and delivering AI models for credit risk optimization at fintech company. Involves collaboration with quantitative risk experts and traders.
Data Scientist developing AI models within the Data & Risk team at Optasia. Enhancing financial technologies through data - driven decision making and collaboration with stakeholders.
Data Science Analyst at Medibank turning data into actionable insights for health and wellbeing. Collaborating with stakeholders to drive improvements in customer experience and product strategy.
Head of Data & Analytics at Checkmk, managing BI roadmap and Tableau Cloud. Leading data initiatives to drive business growth while fostering a data - driven culture across the organization.
Data Manager leading data management activities for clinical trials at ClinChoice. Ensuring deliverables meet timelines and quality while collaborating with cross - functional teams.
Analytics Lead at Create building and scaling the analytics foundation. Partnering with stakeholders to deliver insights and self - service analytics tools.
AI Engineer designing and operationalizing advanced AI driven solutions for data analytics at Dun & Bradstreet. Collaborating closely with data scientists and MLOps engineers to build production grade systems.
AI Engineer designing and operationalizing AI - driven solutions for analytics. Collaborating with data scientists and MLOps engineers in innovative projects.