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Aufgaben

Build production-grade Python packages - Follow and build project scaffolds (PowerShell), follow coding standards, and reproducible workflows - Transform analyses into standardized currently best-known methods (cBKM) - Process data and automate data flows; manage and optimize data structure & data bases for big data sets - Interact with product and service teams to identify questions and issues for data analysis and experiments - Interpret and communicate data analysis results and experiments to product, service & business managers - Design, build and maintain dashboards - Process confidential data and information according to guidelines - Support to setup iterating reports, analysis and dashboards

Anforderungen

Bachelor or Master Degree: StatisticsData Science/ /Industrial Engineering - Expert knowledge of Python, statistical modelling (frequentist and Bayesian) and data visualization - Intermediate knowledge of PowerShell, R and SQL - AI expert knowledge - Project management - Comfortable with non-recurrent, high-complexity engineering analyses that drive product decisions - Experience with Industry 4.0 (EI): Best-case has worked in an actual company having Industry 4.0 stuff running - Made predictive maintenance models, deployed and managed them - Expert knowledge of Docker - Skill in project management i.e. being able to break down complex visions into actual work packages - Structured problem solving mindset A valid work permit for Austria is required for this position. What we re offering This position is subject to the Austrian Collective Bargaining Agreement for Employees in the Metal Technology Industry in the occupation group F. A higher paymentis negotiable depending on education, expertise and skills.

The monthly salary is paid 14 times per year. The position is hired through a third party agency. Villach - a great place to live and work Follow the link and you will find on the spot the most important information aboutliving, 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.

Zur Position

The group you’ll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam s etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. The impact you’ll make You will turn complex data into clear, actionable insights to support data-driven decisions.

By building scalable solutions and working with cross-functional teams, you will improve analysis and reporting while ensuring data quality and driving innovation. This will help to advance equipment intelligence across the company.