5 Programming Jobs in Oberösterreich
Vollzeit
Graz, Linz
09.06.2025
Graz, Linz
Your future responsibilities
- Setting up and running lab experiments in UWB
- Research and development in UWB sensing and communication
- Close collaboration with customers in Graz and Linz
- Independent work on embedded programming projects
- Contributing to cutting-edge applications in communication and IoT
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Vollzeit
Graz, Linz
09.06.2025
Graz, Linz
Your future responsibilities
- Developing concepts for communication and sensing with using UWB and future technologies
- Setting up and running lab experiments in UWB
- Conducting research and development in UWB-based sensing and communication
- Collaborating closely with customers in Graz and Linz
- Independently working on embedded programming projects
- Contributing to cutting-edge applications in communication and IoT
- Initiating of leading new projects and collaborations with industry and public funding programs (HE, FFG, Chips JU, ...)
- Presenting scientific results in technical dokumentation and/or high-level journals
- Participating in international conferences and contributing to IP generation and technical innovation
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Vollzeit
Thalgau
11.06.2025
Thalgau
Die Rolle
- 8+ years of proven success delivering in performance environments across sport organizations and constituencies.
- Deep understanding of elite athlete performance testing and programming in multiple domains of sport.
- Masters in Strength and Conditioning, Sport Science or equivalent.
- High level performance support in international and domestic sport programs.
- Proven experience in building programs and performance project to drive change at a system level.
- Creative, strategic thinker capable of bridging vision with practical execution in targeted sport environments.
- Widely connected in the physical performance field, both with coaches, experts and potential partners.
- Excellent communication skills.
- Fluent in written and spoken English (additional language skills desirable)
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RESPONSIBILITIES
- Programming: know at least one of Python, SQL, R with the ability and willingness to learn the other two. Snowflake or Databricks knowledge is a plus.
- FMCG Knowledge: prior experience working at an FMCG company in a data or analytics focused role a plus.
- 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: applied understanding of Stats and Probability and know how to use these tools to reduce uncertainty in a business context (regression, visualisation).
- 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: good 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 organisation.
- 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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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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