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5 Api Jobs in Salzburg

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Senior Data Engineer (m/w/d) Axess AG Vollzeit Anif 17.10.2024 Anif DEINE AUFGABEN Zusammenarbeit mit dem Data-Engineering-Team bei der Konzeption, dem Entwurf und der Entwicklung von Hochleistungs-Datenpipelines und ETL-Prozessen. Sicherstellung der Datenverfügbarkeit, -qualität und -sicherheit in Zusammenarbeit mit dem Team. Technische Anleitung, Unterstützung und Betreuung bei der Datenmodellierung, dem Warehousing und der Integration. Einhaltung von Best Practices und Entwurfsmustern in der Datentechnik. Verbesserung von Data-Engineering-Prozessen, Erkennen von Innovationsmöglichkeiten und Verfolgen aktueller Branchentrends und neuer Technologien. 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
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
SAP Solution Architect Red Bull GmbH Vollzeit Elsbethen 16.10.2024 Elsbethen RESPONSIBILITIES University education and degree in computer science or a related field of study Several years of professional experience in a technical/IT field, preferably as a Solution Architect Advanced knowledge of IT with a focus on strategic thinking and the ability to present architectural issues and negotiate with stakeholders Experience in IT project management and in working with consultants as well as in the design and development of integrations or extensions for standard applications and SAP systems Good understanding of SAP modules and processes with the common architecture patterns and the components surrounding them (e.g. MM, SD, PLM, AP, AR, master data distribution) Knowledge of development and enhancement frameworks within SAP - ABAP Objects, CDS, SAP Fiori developments, OData developments Knowledge of modern web technologies and best practices such as REST, GraphQL, API management, data ingestion & streaming, CDN Good communication skills in both German and English Strong leadership and communication skills as well as technical and entrepreneurial understanding of business processes 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

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