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4 data modelling Jobs in Salzburg

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Data Scientist Red Bull GmbH Vollzeit Elsbethen 19.12.2024 Elsbethen RESPONSIBILITIES 2+ 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 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 Zum Stellenangebot
Data Engineer Red Bull GmbH Vollzeit Elsbethen 19.12.2024 Elsbethen Die Rolle At least 3 years of practical experience in the field of data, data modelling and data driven decisions Data or media technology focused education or equivalent work experience Fluent in English, German is a plus Strong experience with (big) data technologies and best practices managing large datasets Very good communication and organization skills Proficiency with data modelling and engineering, Big Data, ETL/ELT, SQL, DDD Persistent, systemic and analytical thinking with an attention to detail Experience in media data setups (recommended) Zum Stellenangebot
Senior Data Scientist Red Bull GmbH Vollzeit Elsbethen 19.12.2024 Elsbethen 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 Previous experience managing a team is 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 Zum Stellenangebot
Sustainability Data & Process Development Expert Red Bull GmbH Vollzeit Fuschl 18.12.2024 Fuschl RESPONSIBILITIES 3+ years’ work experience in Sustainability and/or in the Business Intelligence area with project involvement Experience with Business Intelligence and Reporting Systems, ideally SAP ERP-S4, SAP BI, SAP Analytics Cloud, Tableau or any other BI solutions University degree in Sustainability, Business Administration, Finance, Economics, Business Informatics, IT or similar Up-to-date on sustainability regulations and developments/innovations Data-driven, data-enabling and solution-oriented person with the ability to translate complex business requirements into technical concepts/data models and document processes Ability to work across multiple teams in a large organisation, align goals and drive overall success independent of organisational boundaries Professional communication and presentation skills for internal and external stakeholders Proactive, self-motivated and able to work in a fast-paced environment on different projects in parallel Passionate about sustainability, environmental protection and social initiatives and feel motivated in your work as a result Fluent in English, German is a plus Zum Stellenangebot

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