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4 Jobs in Elsbethen

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Senior Data Scientist Red Bull GmbH Vollzeit Elsbethen 12.01.2025 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
Data Scientist (Sales & Marketing Focus) Red Bull GmbH Vollzeit Elsbethen 13.01.2025 Elsbethen 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. Zum Stellenangebot
Senior Data Scientist (Statistics & ML Expert) Red Bull GmbH Vollzeit Elsbethen 13.01.2025 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 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
Data Engineer Red Bull GmbH Vollzeit Fuschl 15.01.2025 Fuschl RESPONSIBILITIES University degree in IT or business administration with a focus on computer science, data science, or data engineering. Very good English skills. German is beneficial. Experience of at least 3 years with analytics tools such as Azure Data Factory, Trifacta, Snowflake, Databricks. Experience with query languages such as SQL, and programming languages (R, Python, Scala). SAP knowledge (BW, HANA, SAC), and Analytics front-end tools (Tableau, PowerBI) is beneficial. Architectural understanding of databases and ETL/ELT pipelines. Familiarity with data science and data lake platforms on modern hyperscalers like Azure or AWS. Previous exposure to working in a globally operating international company. Enthusiasm for both engineering tasks and implementing business requirements. Experience within a fast-moving consumer goods (FMCG) environment beneficial. Zum Stellenangebot

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Brutto Netto Rechner

Brutto Netto Rechner

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