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3 Data Scientist Jobs in Salzburg

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Data Scientist Red Bull GmbH Vollzeit Elsbethen 16.10.2024 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
Senior Data Scientist Red Bull GmbH Vollzeit Elsbethen 16.10.2024 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
(Senior) Data Scientist - Sports Performance Analytics Red Bull GmbH Vollzeit Elsbethen 16.10.2024 Elsbethen RESPONSIBILITIES 4+ years of work experience in Data Science or in a related field; experience in sports (performance) analytics 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, 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: skilled at building mutually beneficial connections with functional stakeholders is a plus 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 Good command of English, both spoken and written. German a plus Zum Stellenangebot

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