Wir freuen uns darauf, Dich kennenzulernen.Du entwickelst mit uns die zentralen Bauteile unseres Brain-Computer-Interfaces – implantierbare Mikro-Elektroden. Designe und entwickle gemeinsam mit Deinem Team unsere implantierbaren Multi-Channel Mess- und Stimulationselektroden und bringe diese mit uns in die Klinik.
Impact & Team Power: High degree of creative freedom and unbeatable team power in a high performance work environment Salary & Employee Discounts: Secure job with the pioneer of discounts offering an attractive salary and corporate benefits Your tasks Agile development & configuration (front & backend) of an international PIM/MDM solution Build & further enhance our PIM/MDM data models based on complex business requirements Code review & unit testing and perform quality assurance and testing (error analysis, bug fixing) Take over responsibility for our regular release cycle & deployments Strong collaboration with other technical teams Translation of technical requirements into features, epics and user stories Assuring the Third Level Support for our platform(s) Transfer of technical knowledge to our domain and business colleagues as well as mentor junior developers and support project teams Your profile Completed education in IT/computer science (e.g., IT specialist apprenticeship, specialist for application development) or a related university degree (Computer Science, Business Informatics) or equivalent qualification Proven development experience with PIM and/or MDM solutions; PIM XY experience is a plus Proficiency programming with languages like PHP or JavaScript as well as experience in API development based on REST or GraphQL Experience working in international, cross functional projects using agile methodologies (e.g., Scrum, Kanban); ability to technically lead and coach teams is a plus Structured, organized, self directed, and solution oriented working style with high quality standards Very good German & English skills (spoken and written) Confident use of MS Office applications Developer-PIM-MDM-m-f-d-MDM-Platform-Solutions-Essen
Key Responsibilities: ·Provides specialized administrative support in the development, implementation, and marketing of our two HR development programs ·Serves as a central point of contact between prospective employees, vendors, staff, other departments, and/or external constituencies on day-to-day operational, and administrative matters; assists with meetings, special projects, and/or general problem resolution ·Coordinates activities and administration of program objectives; this requires engaging internal and external stakeholders ·Monitors and administers program/project expenses; may develop or participate in the development of funding proposals for the program ·Writes, edits, and coordinates development of course catalogs, promotional materials, educational materials, training manuals, newsletters, and/or brochures, as appropriate to the program ·Maintains program/project records, researches information and gathers and computes various data; prepares special and/or one-time reports, summaries, or replies to inquiries, selecting relevant data from a variety of sources.
Das sind Deine Aufgaben Du übernimmst die Einlagerung der Ware Du hältst Ordnung in unserem Lager und sorgst dafür, dass alles seinen Platz hat Du stellst die Bestellungen zusammen und verpackst die Ware mit Sorgfalt Du verlädst die Warensendungen unter Einhaltung aller Sicherheits- und Qualitätsstandards Was Du mitbringen solltest Du hast eine abgeschlossene Berufsausbildung, vorzugsweise als Fachlagerrist (m/w/d) bzw. als Fachkraft für Lagerlogistik (m/w/d) Du hast bestenfalls erste Berufserfahrungen im Logistikbereich Du bringst gute Deutschkenntnisse in Wort und Schrift mit Du bist fit im Umgang mit dem Computer Du besitzt einen Staplerschein und hast idealerweise keine Höhenangst Du arbeitest sorgfältig, selbstständig und bist ein echter Teamplayer Das Arbeiten in einem Zwei-Schicht-System ist für Dich kein Problem Unsere Benefits 4-Tage-Woche an 13 Wochen im Jahr durch ein innovatives Arbeitszeitmodell, also 13 zusätzliche freie Tage 30 Urlaubstage/Jahr + 13 zusätzliche freie Tage = 43 arbeitsfreie Tage Zahlung einer Antrittsprämie in Höhe eines Bruttomonatsgehalts Jährliche Gewinnbeteiligungen und tarifliche Sonderzahlungen Attraktive Rabatte in zahlreichen Onlineshops über Corporate Benefits Günstige Fitnessstudiomitgliedschaften Fahrrad Leasing Betriebliche Altersversorgung Stellung von Arbeitskleidung inkl.
Apply statistical methods to detect anomalies, trends and shifts. Your Profile BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics or Engineering.At least 5 years experience in the field of data analytics, data mining.Technical expert in the field of data analytics, data mining.Proficient in Python and SQL languages.Experienced with statistical modelling and data mining techniques.Strong problem-solving skills with ability to multi-task and manage multiple projects simultaneously.
Kaufmann für Büromanagement / Industriekaufmann / Eventmanager / Veranstaltungskauffrau oder Ähnliches (m/w/d) • Erste Erfahrung in Gastronomie oder Eventbereich von Vorteil • Gute Kenntnisse der englischen Sprache • Gute Computer Kenntnisse • Führerschein Klasse B zwingend erforderlich • Bereitschaft zu flexiblem Arbeiten (u.a. am Wochenende, Abends und Nachts) • Organisationstalent, Teamfähigkeit, Durchsetzungsfähigkeit, Kommunikationsstärke Wir bieten • Ein sicheres und festes Arbeitsverhältnis • Flache Hierarchien • Möglichkeit eines Firmen-PKW mit Privatnutzung • Firmenhandy zur Privatnutzung • ggf.
Takes a lead role in pro-active to suggest process improvement according WMS standards functionalities and business requirements Requirements: Bachelor or higher degree in Engineering, Computer Science, IT or Logistics. 4+ years’ experience in WMS implementations as functional analyst Strong knowledge in WMS solution Knowledge of integration techniques using middleware.
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