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# Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders)

- **Company:** Lam Research
- **Location:** Villach, Austria (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Big Data, Information Engineering, Python (Programming Language), Machine Learning, Peer-To-Peer (P2P), Software Engineering, Information Technology
- **Published:** November 11, 2026
- **Apply:** https://www.adzuna.at/details/5960326234

## About the Role

* Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical discipline.
 * 8+ years of experience in Data Science, Machine Learning, AI, Analytics, Software Engineering, or Equipment Intelligence, including experience delivering production-grade solutions.
 * Previous experience leading technical teams, programs, or innovation initiatives.
 * Strong understanding of machine learning, data engineering, big data architectures, predictive analytics, and intelligent systems.
 * Strong stakeholder management, project management, and organizational leadership skills.
 * Excellent communication and presentation skills., * Experience managing data science teams within semiconductor equipment development.
 * Advanced knowledge of Python, statistical modelling, machine learning, and artificial intelligence.
 * Advanced knowledge in optical imaging and computer vision.

## Description

* Lead and develop the Advanced Technologies Team, driving innovation in Data Science, Artificial Intelligence, Machine Learning, and Equipment Intelligence including Vision System for semiconductor spin clean tools.
 * Define and execute the team's strategic roadmap, aligning advanced analytics and intelligent equipment solutions with business objectives, product strategy, and Industry 4.0 initiatives.
 * Oversee the development, deployment, and lifecycle management of machine learning models, predictive maintenance solutions, and equipment intelligence capabilities to improve performance, reliability, and customer value.

Lead cross-functional collaboration with engineering, product management, process engineering, and key account technology teams to identify strategic opportunities and accelerate innovation.

 * Communicate technical strategies, business value, and program progress to senior leadership and key stakeholders.
 * Manage team performance, workforce planning and talent development to build and retain a high-performing organization., Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
 * Wellbeing: Programs designed to support your individual needs, help you achieve personal goals, and incentivize you with rewards
 * Stock: Discounted employee stock purchase program
 * Parental Bonding: 16 weeks fully paid bonding leave for all new parents
 * Recognition: Peer-to-peer award program designed to recognize excellence and celebrate success
 * Pension: Annual pension contribution that increases with tenure