Analyze system requirements and assess the feasibility of testing in simulated environments as well as in vehiclesDesign and develop test cases for system requirements, particularly for IVI systems including navigation, telematics, and streaming servicesExecute integrated system tests on test benches and in-vehicle environmentsTake ownership of key test milestones, such as quality audits and final release gate checks for new vehicle platformsCollaborate closely with Tier-1 suppliers and coordinate activities with our R&D headquarters in KoreaTrack issues and manage bug fixes using JIRA, ensuring alignment with vehicle line timelines and software release planReview and challenge technical solutions with a focus on system performance and market competitivenessIdentify improvement opportunities based on European market trends and actively support their implementation Bachelor’s or Master’s degree in Computer Science, Engineering, Electrical Engineering, or a related fieldPractical experience conducting driving tests within the EU region, ideally in the area of automotive infotainment validationExperience in system validation, preferably covering navigation, connected car services, and streaming applicationsFamiliarity with configuration management and version control toolsBasic knowledge of data analytics is an advantageStrong planning and organizational skills with a structured working approachHigh level of flexibility and motivation to work in an international and cross-cultural environmentVery good command of the English language, both written and spokenWillingness to travel and conduct driving tests; valid European driving license (Category B) required Pleasant working atmosphereChallenging and varied tasks in a promising and innovative industryDynamic and innovative market environmentA highly motivated team and an open communication styleAngenehmes Arbeitsklima Ihr Kontakt Ansprechpartner Annika Chrysant Referenznummer 858521/1 Kontakt aufnehmen E-Mail: annika.chrysant@hays.de Anstellungsart Anstellung bei der Hays Professional Solutions GmbH
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systems Support model development by assisting with training, validation, and optimization of machine learning workflows Conduct data analysis to extract insights and provide clear reports supporting R&D research questions Solve technical challenges related to data access, pipeline performance, and software limitations Ensure continuity of ongoing projects by aligning closely with the core team and delivering on timelines Perform image analysis and prepare datasets required for scientific and ML use cases Manage and improve ETL processes to ensure data quality, structure, and availability Document workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative field Strong proficiency in Python with expertise in scientific and analytical libraries Skilled in SQL and working with relational databases Understanding of ETL concepts and practical experience working with data pipelines Solid foundation in machine learning principles and model lifecycle Ability to perform image analysis for scientific or research applications Strong communication and interpersonal skills with the ability to collaborate in a technical team Independent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impact Hands-on involvement in AI, machine learning, and data integration challenges in a scientific environment Close collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Maintain and troubleshoot data integration pipelines to ensure stable data flow into AI and analytics systemsSupport model development by assisting with training, validation, and optimization of machine learning workflowsConduct data analysis to extract insights and provide clear reports supporting R&D research questionsSolve technical challenges related to data access, pipeline performance, and software limitationsEnsure continuity of ongoing projects by aligning closely with the core team and delivering on timelinesPerform image analysis and prepare datasets required for scientific and ML use casesManage and improve ETL processes to ensure data quality, structure, and availabilityDocument workflows, pipeline changes, and analytical steps to ensure clarity and reproducibility Academic background in computer science, data science, engineering, or a related quantitative fieldStrong proficiency in Python with expertise in scientific and analytical librariesSkilled in SQL and working with relational databasesUnderstanding of ETL concepts and practical experience working with data pipelinesSolid foundation in machine learning principles and model lifecycleAbility to perform image analysis for scientific or research applicationsStrong communication and interpersonal skills with the ability to collaborate in a technical teamIndependent, structured problem-solver with a commitment to clear documentation and FAIR data practices Opportunity to contribute directly to active R&D projects with immediate real-world impactHands-on involvement in AI, machine learning, and data integration challenges in a scientific environmentClose collaboration with a small, highly skilled technical team Ihr Kontakt Referenznummer 863771/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
STELLENDETAILS: Einsatzort: 82234 Weßling Branche: Luft-/Raumfahrttechnik Beruf: Bachelor’s degree in Computer Science, Information Systems Tätigkeitsbereich: Produktion/Produktionsplanung Art der Anstellung: Arbeitnehmerüberlassung Befristung: unbefristet
What makes you stand out You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You bring experience in Revenue Operations, Sales Operations, Sales Analytics, or a similar commercial analytics role.You have a strong understanding of sales processes, pipeline management, forecasting, and revenue metrics, and you can translate them into technical requirements for engineers.You hold a degree in Business Informatics, Data Science, Computer Science, Industrial Engineering, Business Administration, or a comparable field.You are a great stakeholder manager who can talk to sales and engineering alike.You are highly proficient in Power BI and experienced in building dashboards that drive action.You are comfortable working with CRM data and sales systems (e.g.
Lust auf unser textiles Umfeld – ganz gleich, ob als Quereinsteiger (m/w/d) oder erfahrener Profi, mit oder ohne abgeschlossene BerufsausbildungDeutschkenntnisse und Grundkenntnisse im Umgang mit einem Computer zwingend erforderlichPünktlichkeit, Zuverlässigkeit und eine kundenorientierte ArbeitsweiseFührerschein der Klasse B
. • Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines • Estimate programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables • Use and promote the use of established standards, SOP and best practices • Provide training and mentoring to SP team members Requirements: • Bachelor's Degree in Maths, Computer science, Statistics, or related field • 7+ years’ Statistical Programming experience within the Life Science Industry • Strong Efficacy experience • Advanced knowledge of statistics, programming and/or clinical drug development process • Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro • Language • Advanced knowledge of relevant Data Standards (such as CDISC/ADaM/SDTM) Join IQVIA to see where your skills can take you • Global exposure • Variety of therapeutic areas • Collaborative and supportive team environment • Access to cutting-edge and innovative, in-house technology • Excellent career development and progression opportunities • Work-Life Balance, with a strong focus on a positive well-being Unleash your potential!
Fluent languages skills in German on at least C1 level and good command of English. Computer skills including working knowledge of Microsoft Word, Excel and PowerPoint. Effective communication, organizational and planning skills.