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

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Austria📅 13/10/2026

Descripción

At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration. The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate ... 1 Manager, Advanced Technologies - Data Science & Equipment Intelligence (all genders) LOCATION: Villach, AT, 9500 REQ ID: 204414 What you'll do * 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. Who we're looking for * Master's degree or Ph.D. in Data Science, Compu
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