Analyze system requirements and assess the feasibility of testing in simulated environments as well as in vehicles Design and develop test cases for system requirements, particularly for IVI systems including navigation, telematics, and streaming services Execute integrated system tests on test benches and in-vehicle environments Take ownership of key test milestones, such as quality audits and final release gate checks for new vehicle platforms Collaborate closely with Tier-1 suppliers and coordinate activities with our R&D headquarters in Korea Track issues and manage bug fixes using JIRA, ensuring alignment with vehicle line timelines and software release plan Review and challenge technical solutions with a focus on system performance and market competitiveness Identify 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 field Practical experience conducting driving tests within the EU region, ideally in the area of automotive infotainment validation Experience in system validation, preferably covering navigation, connected car services, and streaming applications Familiarity with configuration management and version control tools Basic knowledge of data analytics is an advantage Strong planning and organizational skills with a structured working approach High level of flexibility and motivation to work in an international and cross-cultural environment Very good command of the English language, both written and spoken Willingness to travel and conduct driving tests; valid European driving license (Category B) required Pleasant working atmosphere Challenging and varied tasks in a promising and innovative industry Dynamic and innovative market environment A 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
What makes you stand out You hold a degree in (business) mathematics, computer science, economics, or a comparable field.You also bring relevant professional experience in the data domain, for example as a BI Engineer or Data Engineer.You have strong knowledge of SQL and Python, as well as proven experience in developing cloud‑based data pipelines using Snowflake, Azure Data Factory, DBT, and Azure Data Lake.You stand out through your analytical skills and project management capabilities, as well as a strong goal‑oriented and problem‑solving mindset.You communicate confidently in German and English.
What You’ll Do Drive Measurable Business ImpactIndependently lead AI and analytics initiatives that generate tangible business valueActively contribute to and influence the company’s strategic directionApply Advanced Analytics & AIDevelop and apply advanced statistical methods in an agile environmentWork on business-critical questions using: Regression models, Time series analysis and Machine learning & AI algorithmsCollaborate cross-functionally or drive initiatives independentlyTurn Data into ActionDesign and execute analyses on large datasetsTranslate findings into clear, actionable recommendationsWork across the full spectrum — from Excel-based analysis to deep learning models Build Scalable AI SolutionsDevelop and own customized Data Science and AI solutionsWork with SQL on Azure and Snowflake platforms, Python is nice to haveLead projects end-to-end: from Proof of Concept (PoC) to fully operational production modelsCreate audience-tailored presentationsTranslate complex analytical insights into clear business languageDeliver compelling data storytelling to support decision-making at all levels What makes you stand out Minimum 3 years of experience in Data Science, AI, Advanced Analytics, or similar rolesProven ability to generate measurable business value through data-driven solutionsStrong expertise in statistical modeling and machine learning techniquesHands-on experience with: Python, SQL, Azure and SnowflakeExperience building scalable models from PoC to productionStrong communication and stakeholder management skillsAbility to explain complex topics to both technical and non-technical audiencesBachelor’s or Master’s degree in Finance, Statistics, Computer Science, Mathematics, or a related quantitative field We are looking forward to your application and to applicants who enrich our diverse culture!
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 have several years of experience in building, operating, or further developing data‑driven products—ideally in a sales, marketing, or customer service context.You have solid knowledge in designing and developing cloud‑based data products such as data warehouses, semantic layers, analytical models, and reporting and analytics solutions.You possess strong knowledge of data architectures, data engineering, data science, and data governance.You bring experience in leading interdisciplinary teams both functionally and disciplinarily—ideally including Data Engineers, Data Scientists, Product Owners, and Data Governance roles.You demonstrate strong analytical and conceptual thinking skills and the ability to prepare complex topics in a structured and understandable way.You communicate effectively and are able to bridge different target groups (business & tech).You work with strong execution and results orientation while ensuring high data quality.You have excellent German and English skills, both written and spoken.
What makes you stand out You have several years of experience leading teams in a payments, IT, or platform operations environment.You bring solid expertise in payment processing, ideally in the areas of card acceptance, authorization systems, or payment schemes.You hold a completed degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification.You have experience operating highly available 24/7 systems as well as in incident and provider management.You also have a strong technical understanding of complex system architectures, integrations, and data flows.You have proven experience managing external service providers and leading complex, cross-functional projects.You are able to develop and implement technical concepts, feasibility analyses, and innovative solution approaches.You work in a structured and analytical manner and stand out through strong communication and stakeholder management skills.Very good German and English language skills, both written and spoken, complete your profile.
Wir unterstützen das Unternehmen beim Aufbau eines starken Teams mit Start-Up-Denkweise, um Projekte in den Bereichen Computer Vision, Sensortechnologien, Datenwissenschaft, Künstliche Intelligenz, Konnektivität und Robotik durchzuführen. Jetzt bewerben Die Aufgabe Entwicklung mobiler Apps, vorzugsweise im medizinischen BereichIntegration von Apps in Cloud-Systeme und Entwicklung von Schnittstellen zu medizinischen GerätenLeiten der externen Entwicklungspartner bei der App-EntwicklungImplementierung einer geeigneten Infrastruktur für die App-EntwicklungDie Suche nach neuen Technologien und TrendsBeratung des Projektteams mit technischem Wissen rund um die App-Entwicklung Das Profil Branchenerfahrung in der Entwicklung mobiler Apps, vorzugsweise im medizinischen BereichBeherrschung der wichtigsten Entwicklungssprachen wie z.
Qualifications & Skills Strong technical communication skills, with the ability to clearly explain concepts and collaborate effectively with both technical and non‑technical stakeholders Advanced computer proficiency, including MS Office (Word, Excel, Outlook) and demonstrated ability to quickly learn and adopt new software platforms, CRM tools, data systems, or automation technologies 4‑year degree in a technical, business, or related field preferred, but not required Experience troubleshooting basic technical issues and navigating systems, dashboards, or digital workflows Ability to thrive in a fast‑paced, technology‑driven environment, managing multiple priorities while meeting deadlines Self‑starter with strong analytical thinking skills, able to investigate problems, interpret data, and follow established processes to completion with minimal supervision Excellent time management, organization, and multi‑tasking skills, with a proactive approach to solving operational or system‑related challenges Ability to work onsite (8:30am–5:00pm) and collaborate closely with technical and operational teams WÜSTHOF is an equal opportunity employer and we are committed to creating a diverse team.