Build and validate statistical and machine learning models, including regression, classification, survival analysis, clustering, and key-driver analysis
Design rigorous analyses, including quasi-experimental and causal inference approaches
Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance
Conduct open-ended discovery, test hypotheses, explore anomalies and weak signals
Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus
Internship focused on Base Layer Control, Advanced Process Control, Process Data Analytics, and Predictive Emissions Monitoring at a Malaysia LNG plant.
Responsibilities
Collect and analyze historical process data from DCS and process historians
Assess performance of regulatory control loops and identify performance gaps
Monitor controller operating modes, variability, and response characteristics
Recommend improvements for loop tuning and control optimization
Prepare reports and dashboards on control loop performance
Contribute to the design and build of our new Azure-based Data, Reporting and Analytics platform.
Develop reliable, reusable data pipelines, transformations, data models and governed data products.
Contribute metadata, data definitions and lineage information to support the enterprise data catalogue and data governance.
Apply validation, reconciliation, testing and monitoring practices to identify data-quality issues early and deliver trusted, production-ready data solutions.
Collaborate with University teams including key stakeholders and our external delivery partner.
Senior/Principal NAND Module Process Integration Engineer in the Singapore R&D department at Micron Technology Inc.
Responsibilities
Identify and quantify key module deficiencies and technology gaps
Lead cross-functional teams to address these issues
Improve current process flows and develop innovative solutions to meet product requirements and manufacturability
Develop or redefine CSPEC criteria for optimal product performance and drive activities to ensure manufacturing process capability
Coordinate activities at the manufacturing site to secure funding for experiments, and conversions, and effectively communicate decisions to relevant R&D, Product Engineering, and Manufacturing partners
Requirements
BS, MS/PhD in Electrical Engineering, Microelectronics, Chemical Engineering, Material Science or a related field
Lead governance initiatives across Micron's semiconductor manufacturing lines, developing frameworks, dashboards, and cross‑functional programs to improve stability and quality.
Responsibilities
Lead rollout and maintenance of Frontline Stability Program initiatives across HBM and Non‑HBM manufacturing lines
Manage governance frameworks such as FEAT, EFM, and CESG
Establish operational benchmarks and monitoring mechanisms
Work with Site Engineering, Quality, and Manufacturing to close issues
Define and deploy machine auto‑trigger strategies
Requirements
Bachelor's degree in Mechanical, Electrical, Manufacturing, Industrial, Mechatronics, Semiconductor Engineering or related field
Lead and develop the U.S. Satellite Scenario and Capital Planning team, fostering a culture of collaboration, accountability, continuous improvement, and employee growth.
Responsibilities
Lead and develop the U.S. Satellite Scenario and Capital Planning team
Develop and evaluate capacity loading strategies, business scenarios, and long‑range plans that support technology ramps, manufacturing expansion, and business objectives
Partner with planning, manufacturing, engineering, procurement, finance, and other multi‑functional teams to translate business requirements into actionable capacity and capital plans
Lead scenario analyses and capacity evaluations to assess business alternatives and provide clear, data‑driven recommendations to senior leadership
Analyze capital investment requirements, tooling strategies, technology transitions, and capital efficiency opportunities to support effective investment decisions
Requirements
Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Chemical Engineering, Operations Research, Supply Chain, or a related technical field, or equivalent practical experience
Nice to have: advanced degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Supply Chain, Business Administration, or a related field
Nice to have: experience leading teams, coaching, mentoring, talent development, performance management
Senior Solutions Architect - AI and Emerging Technologies
Lead the design, governance, and adoption of AI-powered business solutions across the enterprise.
Responsibilities
Define and govern enterprise AI, automation, analytics, and agent-based architectures aligned with business transformation goals.
Design and deliver intelligent workflows that integrate AI agents, automation platforms, and enterprise data systems.
Evaluate and guide adoption of AI technologies including Copilot Studio, Copilot Agents, Claude, UiPath AI, Snowflake Cortex, and related platforms.
Establish reusable frameworks, governance standards, and guidelines for AI development, citizen developers, and the CBO Agent Marketplace.
Mentor global engineering teams and partner with IT, Security, Enterprise Architecture, and Data teams to deliver secure, scalable AI solutions.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
Nice to have: Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.
Nice to have: Hands-on experience with automation platforms such as UiPath or similar intelligent automation technologies.
Nice to have: Experience with AI platforms and technologies including Copilot Studio, AI agents, Snowflake Cortex, or similar enterprise AI solutions.
Develop advanced imaging and computational solutions for next-generation eBeam inspection systems.
Compensation
Base Pay Range: $186,200.00 - $316,500.00
Responsibilities
Collaborate with electron optics and systems engineering teams to model SEM image formation and understand imaging performance, aberrations, and other physical effects.
Develop advanced image restoration and defect detection algorithms for low signal-to-noise SEM imaging.
Apply computer vision, image processing, deep learning, and physics-guided modeling techniques to semiconductor inspection challenges.
Design and develop digital twin and synthetic SEM simulation capabilities for internal data generation, modeling, and experimentation.
Partner with applications teams and customers to understand semiconductor manufacturing processes, including lithography, etch, and deposition, and their impact on SEM imaging.
Requirements
Master's degree or Ph.D. in Computer Science, Electrical Engineering, Physics, Applied Physics, Applied Mathematics, Optical Engineering, or a related technical discipline.
Intern Developer - Python DevelopmentNewECM Tek LLC · Nashville, US
Internship 2027 for Plant, Malaysia LNG Sdn. Bhd., Gas & MaritimeNewPETRONAS Internship · Malaysia
Data EngineerNewTe Herenga Waka—Victoria University of Wellington · Kelburn, New Zealand