About this role
LOCATION: Villach, AT, 9500 REQ ID: 200335
WHAT YOU WILL DO * 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.
WHO WE ARE LOOKING FOR * Bachelor or Master Degree: Statistics/Computer Science/Data 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
WHAT WE ARE OFFERING This position is subject to the Austrian Collective Bargaining Agreement (CBA) 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.
WORKING HOURS Flexitime model 38,5 hours/week, Core hours (Mo-Th 9-15, Fr 9-11:30)
APPLICATION: If you are interested in this position, please apply ONLINE under: https://careers.lamresearch.com/