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

JobsinAustria; Villach; Hybrid; EUR 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Remote work options

Career development opportunities

Zusammenfassung

Lam Research in Villach, Austria seeks a leader to run the Advanced Technologies Team, delivering data science, AI/ML, and equipment intelligence across semiconductor spin-clean tools.

You will define strategic roadmaps, oversee ML models and predictive maintenance, and collaborate across engineering, product and process teams, while developing talent. The role emphasizes innovation and leadership within Industry 4.0 initiatives.

Qualifikationen

• Master's degree or Ph.D. in a technical field.
• 8+ years in Data Science/AI/Analytics with production-grade solutions.
• Experience leading technical teams or programs.
• Strong knowledge of ML, data engineering, predictive analytics, and intelligent systems.
• Excellent stakeholder, project, and leadership skills.
• Excellent communication and presentation skills.

Aufgaben

• Lead and develop Advanced Technologies Team in data science, AI/ML, and equipment intelligence.
• Define and execute the strategic roadmap aligning analytics with product strategy and Industry 4.0 initiatives.
• Oversee development, deployment, and lifecycle management of ML models and predictive maintenance solutions.
• Lead cross-functional collaboration with engineering, product, process engineering, and key account technology teams.
• Communicate technical strategies, business value, and program progress to senior leadership.
• Manage team performance, workforce planning and talent development.

Kenntnisse

Data Science

Machine Learning

AI

Analytics

Software Engineering

Equipment Intelligence

Python

Computer Vision

Ausbildung

Master's or PhD in a technical field

Tools

Vision System

Big Data architectures

Predictive maintenance

Jobbeschreibung

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, 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.

Preferred Qualifications

• 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.

What We're Offering

This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Metal Technology Industry in occupation group H. A higher payment is negotiable depending on education, expertise and skills. The monthly salary is paid 14 times per year. Please follow the link below in the "Employment in Austria" section for further information.

Villach - a great place to live and work

Follow the linkwww.welcome2villach.atand you will find on the spot the most important information about living, working and studying in and around Villach/Austria

Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

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.