4 Model Jobs in Oberösterreich
Als Anprobe/Fitting Model Damenkleidung (m/w/d) freuen Sie sich auf folgende Aufgaben
- Sie probieren im Rahmen der Qualitätsentwicklung zur internen Passform-Überprüfung unsere Damen-Kleidung an.
- Keine öffentlichen Fotoaufnahmen bzw. Laufstegpräsentationen
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Your future responsibilities
- Design RF and Microwave Analog / AMS circuits using advanced sub-micrometer technologies.
- Create and execute verification plans at block- and module-level (e.g., TX channel).
- Model the Analog Circuits for Module and Chip-Top/SoC verification.
- Ensure functionality and performance of fabricated silicon through definition & execution of laboratory measurement campaigns.
- Lead research projects and support larger European-level initiatives.
- Represent the SAL Project Team internally and externally, maintaining contact with partners and customers.
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RESPONSIBILITIES
- Support the formulation of technology strategy in response to spotted disruptive external or internal forces and its operationalization.
- Drive IT Landscape Engineering through proactive and deliberate management of the IT landscape beyond investment planning horizons. This involves operationalizing strategy, identifying drivers for change, and defining architecture directions to address these with stakeholders.
- Analyze business strategy and business future-state capabilities to identify Strategic Themes to detect gaps and opportunities for improvement in the current IT Landscape in line with the IT Strategy to enable the business achieving targeted outcomes.
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RESPONSIBILITIES
- 4+ years of experience in Data Science. Previous experience working as a Machine Learning Expert is a plus
- Masters or Doctorate in relevant field, for instance: Mathematics, Statistics, Science (including data, behavioural, social, econ, ...)
- Good command of English, both spoken and written. German a plus
- Programming: know at least one of R, Python, SQL with the ability and willingness to learn the other two
- Data Literacy: ability to prepare datasets ensuring top quality such that essence of said data and the implications for the problem at hand can be grasped quickly
- Statistical Reasoning: theoretical and applied understanding of Stats, Probability and ML Algorithms and know how to use these tools to reduce uncertainty in a business context (regression, visualization)
- Technical Literacy: applied understanding of modern computing allows the candidate to do things which go beyond the strict definition of Data Science (git, API calls, web crawling, …)
- Presentation Skills: present coherent data stories at the appropriate level of abstraction given the audience
- Stakeholder Management: skilled at building mutually beneficial connections with functional stakeholders
- Pragmatic Critical Thinking: intuitively consider relevant costs/benefits in all decisions and act accordingly
- Outcome Driven: highly motivated to add value and to demonstrate that impact to the organization
- Scientific Reasoning/ Scoping: ability to define and formulate new questions, in addition to answering given ones
- Grit: proven capability to see things through to the end even if initial feedback is discouraging
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