. • Three to five years related manufacturing experience is preferred • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively to all levels of management and employees. • Be able to calculate figures and amounts such as proportions, percentages, measurements, area, circumference, and volume
. • Three to five years related manufacturing experience is preferred • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively to all levels of management and employees. • Be able to calculate figures and amounts such as proportions, percentages, measurements, area, circumference, and volume
. • Three to five years related manufacturing experience is preferred • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively to all levels of management and employees. • Be able to calculate figures and amounts such as proportions, percentages, measurements, area, circumference, and volume
. • Three to five years related manufacturing experience is preferred • Ability to read and interpret documents such as safety rules, customer drawings, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively to all levels of management and employees. • Be able to calculate figures and amounts such as proportions, percentages, measurements, area, circumference, and volume
Prepares concise, accurate, professional and timely Equipment Acceptance Reports, Service Work Reports, Expense Reports and other support documentation for customer visits; communicates with KHS internal staff to report on service activities; completes and submits reports within 3 weeks after the end of a job.
Prepares concise, accurate, professional and timely Equipment Acceptance Reports, Service Work Reports, Expense Reports and other support documentation for customer visits; communicates with KHS internal staff to report on service activities; completes and submits reports within 3 weeks after the end of a job.
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
About us Your Contribution Ensure throughput and product qualityReview production KPI reports and electronic board for accuracy; control production order variances (hours/material/consumption)Review and manage re-inspection backlogs, quality issues and machine changes, along with handling and material issuesLead, instruct and motivate team employees on department deliverables and objectivesSupervise work performance, perform audits, provide control measures within the range of responsibility, and determine necessary improvement activitiesParticipate in the preparation and modification of job descriptions and the hiring processCreate planning documents and schedule/organize staffing to meet business needs based on the production schedule, vacations, call-offs, special needs, etc.Foster open communication with the Operations Manager, while reporting on all relevant data (production quantities, quality, accomplished order production, tool availability, maintenance tasks, etc.)Host daily shift meetings to provide daily instruction and staff allocationAssist in the development and implementation of training programs, in conjunction with the Department Training Coordinator, while continuously evaluating needs per positionPerform annual performance evaluations; document as requiredIssue disciplinary action for poor performance and/or misconduct, etc.Ensure clean workspaces on the Production floorMaintain the accuracy of employee time and attendance within the payroll systemLead and foster troubleshooting activities regarding potential issues on the Production line(s)Help promote and implement safety/EHS directives and maintain a clean and safe workspaceFollow cGMP and adhere to all ISO and safety guidelines and policies Your Profile High School Diploma or GED, requiredExperience in leading and directing the work of others in a fast paced manufacturing settingExperience in machine operation; glass manufacturing experience highly preferredUnderstanding of ISO and cGMP, preferredAbility to follow directions and instructionsAbility to read, write and speak English languageMulti-tasking abilitiesDetail oriented approachUpbeat, team approachRobust communication skills and openness to learn/develop Your Benefits Excellent healthcare benefits including medical, dental and visionShort and long term disability Tuition reimbursement Paid time offPet insurance Other supplemental benefits available upon election Please feel free to contact usYour Profile High School Diploma or GED, requiredExperience in leading and directing the work of others in a fast paced manufacturing settingExperience in machine operation; glass manufacturing experience highly preferredUnderstanding of ISO and cGMP, preferredAbility to follow directions and instructionsAbility to read, write and speak English languageMulti-tasking abilitiesDetail oriented approachUpbeat, team approachRobust communication skills and openness to learn/develop
Deine Mission Du bist verantwortlich für die Transformation unserer Big Data in Smart DataDu erstellst aussagekräftige Reports und individuelle AuswertungenDeine Aufgaben umfassen die Zusammenführung, Validierung, Aggregation und Interpretation von großen strukturierten und unstrukturierten Datenbeständen aus verschiedenen QuellenDurch Data Mining, Predictive Analytics und Machine Learning-Methoden unterstützt du bei der zukünftigen PrognoseerstellungMakro-Entwicklung (VBA) und Troubleshooting sind ebenfalls Teil deines AufgabenbereichsDu bist auch für die SQL-Entwicklung und Weiterentwicklung zuständig Deine Fähigkeiten Du verfügst über einen Abschluss in Wirtschaftsinformatik oder einem ähnlichen BereichDu bringst umfangreiche Erfahrung in der Datenanalyse mitDu verfügst über ausgezeichnete und fundierte Kenntnisse in Excel, insbesondere in der Handhabung von Makros und deren Erstellung mittels VBADu bringst mind.
Deine Mission Du bist verantwortlich für die Transformation unserer Big Data in Smart DataDu erstellst aussagekräftige Reports und individuelle AuswertungenDeine Aufgaben umfassen die Zusammenführung, Validierung, Aggregation und Interpretation von großen strukturierten und unstrukturierten Datenbeständen aus verschiedenen QuellenDurch Data Mining, Predictive Analytics und Machine Learning-Methoden unterstützt du bei der zukünftigen PrognoseerstellungMakro-Entwicklung (VBA) und Troubleshooting sind ebenfalls Teil deines AufgabenbereichsDu bist auch für die SQL-Entwicklung und Weiterentwicklung zuständig Deine Fähigkeiten Du verfügst über einen Abschluss in Wirtschaftsinformatik oder einem ähnlichen BereichDu bringst umfangreiche Erfahrung in der Datenanalyse mitDu verfügst über ausgezeichnete und fundierte Kenntnisse in Excel, insbesondere in der Handhabung von Makros und deren Erstellung mittels VBADu bringst mind.
Operative Unterstützung bei der Umsetzung des EU AI ACT Analyse und Bewertung bestehender AI- und Datenmodelle hinsichtlich regulatorischer Konformität Klassifizierung, Dokumentation und Risikobewertung bankinterner AI-Systeme Anpassung von Datenpipelines, Modellierungsprozessen und Governance-Strukturen gemäß EU AI ACT Erstellung revisionssicherer Dokumentationen und Reports sowie Begleitung interner/externer Prüfungen Bankenerfahrung ist Voraussetzung Tiefes Know-how in Machine Learning, Data Analytics und statistischer Modellierung Erfahrung in regulatorischen Umsetzungsprojekten in Banken, insbesondere EU AI ACT, BAIT, Modellrisikomanagement Sichere Kenntnisse in Python, gängigen ML-Frameworks, MLOps-Umgebungen und Datenqualitätsverfahren Nachweisbare Erfahrung in Modellvalidierung, Dokumentation und Modell-Governance im Finanzsektor Fähigkeit, komplexe technische Inhalte in klare regulatorische Anforderungen zu übersetzen Dynamisches Projektumfeld Ihr Kontakt Referenznummer 866057/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Operative Unterstützung bei der Umsetzung des EU AI ACTAnalyse und Bewertung bestehender AI- und Datenmodelle hinsichtlich regulatorischer KonformitätKlassifizierung, Dokumentation und Risikobewertung bankinterner AI-SystemeAnpassung von Datenpipelines, Modellierungsprozessen und Governance-Strukturen gemäß EU AI ACTErstellung revisionssicherer Dokumentationen und Reports sowie Begleitung interner/externer Prüfungen Bankenerfahrung ist VoraussetzungTiefes Know-how in Machine Learning, Data Analytics und statistischer ModellierungErfahrung in regulatorischen Umsetzungsprojekten in Banken, insbesondere EU AI ACT, BAIT, ModellrisikomanagementSichere Kenntnisse in Python, gängigen ML-Frameworks, MLOps-Umgebungen und DatenqualitätsverfahrenNachweisbare Erfahrung in Modellvalidierung, Dokumentation und Modell-Governance im FinanzsektorFähigkeit, komplexe technische Inhalte in klare regulatorische Anforderungen zu übersetzen Dynamisches Projektumfeld Ihr Kontakt Referenznummer 866057/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Completes required documentation on-site, e.g. cost tracking on installation budget, technicians on-site, daily reports to the Project Manager and customer; completes safety and customer documentation as required. Interfaces with Engineering, Production and Project Management personnel to solve technical problems or project issues.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
Completes required documentation on-site, e.g. cost tracking on installation budget, technicians on-site, daily reports to the Project Manager and customer; completes safety and customer documentation as required. Interfaces with Engineering, Production and Project Management personnel to solve technical problems or project issues.
Was Sie erwartet: Durchführung und Weiterentwicklung komplexer Datenanalysen, inkl. prädiktiver Modelle, zur Unterstützung des Controllings und der Unternehmenssteuerung Übersetzung von Businessanforderungen aus unterschiedlichen Fachbereichen in skalierbare Datenmodelle und BI-Anwendungen Entwicklung und Pflege von Dashboards und Reports in modernen BI-Tools (z. B. Strategy, Power BI, Tableau) Sicherstellung der Datenqualität sowie kontinuierliche Optimierung der Datenflüsse und -modelle Enge Zusammenarbeit mit IT, Finance und weiteren Fachbereichen, um datengetriebene Lösungen nutzbringend einzusetzen Mitwirkung bei der Weiterentwicklung der Data & Analytics-Strategie des Unternehmens Ihr Profil: Abgeschlossenes Studium im Bereich Wirtschaftsinformatik, Data Science, Statistik, Betriebswirtschaftslehre oder ein vergleichbares Studium Einschlägige Erfahrung im Bereich Data Analytics, idealerweise im Controlling-Umfeld Sehr gute Kenntnisse in BI-Tools (z.
Lead the Team : Inspire and support a regional sales team, fostering a performance-driven, customer-focused culture. Mentor direct reports by participating in client and prospect meetings and engaging other BW Papersystems resources as needed. Attract, develop, and retain top talent.
Refine and execute our go-to-market strategy and pipeline generation initiatives, supported by strong cross-functional collaboration and execution.Lead the Team: Inspire and support a regional sales team, fostering a performance-driven, customer-focused culture. Mentor direct reports by participating in client and prospect meetings and engaging other BW Papersystems resources as needed. Attract, develop, and retain top talent.Build External Relationships: Maintain and grow relationships with existing customers, key accounts, and channel partners.
Local community and general public sales budgets and forecasts: track sales and service performance, prepare and implement country budgets according to group wide guidelines, provide regular reports on sales result, risks and opportunities Your Qualifications Technical /engineering background Formal education: Degree in Business, Sales, Marketing or a related Field.
Local community and general public sales budgets and forecasts: track sales and service performance, prepare and implement country budgets according to group wide guidelines, provide regular reports on sales result, risks and opportunities Your Qualifications Technical /engineering background Formal education: Degree in Business, Sales, Marketing or a related Field.
YOUR TASKS Make sure that the supplier or partner look after the production cycle under the standards, deadlines and planning established by the company with effective operations and cost factors Manage and support all Nordex local teams so they could succeed in each area Ensure the supply of raw material for production with Nordex scope, as well as logistics and purchasing areas Supervise all suppliers' material stocks to prevent damaged or defective inventory Coordination of production activities with procurement, maintenance, and quality control activities to obtain optimum production and utilization of human resources, machines, and equipment Plan follow up of the factory’s progress, production improvement and general growth Prepare daily, weekly and monthly reports of production -, maintenance, cost control, operations; to analyze them and see if business objectives are achieved, if government obligations are met or identify and resolve any issues Develop training, teaching, development and work practice plans for workers Be able to manage and coordinate different teams.
YOUR TASKS Make sure that the supplier or partner look after the production cycle under the standards, deadlines and planning established by the company with effective operations and cost factors Manage and support all Nordex local teams so they could succeed in each area Ensure the supply of raw material for production with Nordex scope, as well as logistics and purchasing areas Supervise all suppliers' material stocks to prevent damaged or defective inventory Coordination of production activities with procurement, maintenance, and quality control activities to obtain optimum production and utilization of human resources, machines, and equipment Plan follow up of the factory’s progress, production improvement and general growth Prepare daily, weekly and monthly reports of production -, maintenance, cost control, operations; to analyze them and see if business objectives are achieved, if government obligations are met or identify and resolve any issues Develop training, teaching, development and work practice plans for workers Be able to manage and coordinate different teams.
Prepare and conduct handover sessions to enable RPA/DPA experts from the business to take over maintenance and continuous improvement Properly document handover Perform code reviews As per four-eyes principle conduct code reviews of your colleagues’ implementations Provide detailed feedback Deliver status reports in project or team meetings Facilitate knowledge sharing within CoD & digitization community Share experience and document lessons learned Conduct Automation Academy onsite trainings Help further improving our methodology and align on best practices Support special CoD-relevant projects (i.e. technology exploration) In parallel to your project engagement, you may be involved into special projectsSpecial projects vary (i.e. exploring new technologies, certain methodology improvement initiatives, internal or external auditing, etc.)
Independently manage a team of cross-function automation process analystsYearly target setting and reviewCoordinate project engagements according to defined digitization roadmapSupport and coach team members, i.e. review the work results and provide feedbackSupport people development activities (e.g. observe team members, identify improvement potentials and support shaping individual career development)Accountable for standard setting and shaping best practicesFurther develop standards for process documentation, optimization & digitization, automation potential estimation, incorporation of new technologies into our technology stack, etc.Observe the software market for process automation, analyze new potential, and define use casesSupport or fully manage digitization projects according to agile methodology depending on size and complexity (for larger and more complex projects there will be a dedicated project manager)Be an advocate for agile project management methodology (empower business functions to fulfil their roles; e.g. product owner)Define initial product backlog in collaboration with the product owner and process expertsWrite user stories for all project activities and estimate efforts in collaboration with process experts and automation designer(s)Define sprint cycles and plan sprintsPlan, host, manage, and document sprint review meetings (derive backlog for next sprint)Manage a reasonable scope, considering cost & benefitsPrepare status reports and present in team meetingsFacilitate daily stand-ups for project teamIndependently design digital processes with medium to high complexityIndependently check existing process documents and revise/provide details together with process experts, considering best practices (BPMN 2.0)Independently analyze processes with regard to their automation potentialIndependently optimize processes at task level and develop a digital target process in close coordination with automation designersPresent process design to senior stakeholdersEnsure buy-in of key stakeholders (automation designer, process experts, process owner)Support the automation designers for the technical implementationProvide instructions to automation designer and assist during technical implementationSupport integration and user acceptance testIndependently define and perform test cases with process expertsSupport test coordination and create test documentationSupport go-live and hypercare phase (e.g. conduct trainings and provide coaching)Support change management activitiesPresent and communicate process changes in an understandable wayEnsure that users understand and take account of technical process changesEnsure and facilitate knowledge sharing within CoD & digitization communityShare experience and document lessons learnedFacilitate knowledge exchange sessionsSupport special CoD-relevant projects (i.e. technology exploration)Alongside your project engagement, you may be involved into special projects (i.e. exploring new technologies, certain methodology improvement initiatives, internal or external auditing, etc.)
Provide ultrasound services to the highest quality Perform ultrasound examinations and compile concise and comprehensive reports Work with other team members to ensure the smooth functioning of the ultrasound service Be able to clearly explain sonography procedure to patients and making them at ease.