Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen GesellschaftenÜbergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des BerichtswesensImplementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management)Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management)Weiterentwicklung der Digitalisierung im Immobilienmanagement und GebäudebetriebPerspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten BereichUmfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility ManagementAusreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches DenkvermögenAusgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassenSicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie KooperationsfähigkeitSicherer Umgang mit MS Office, SAP und CAFMKonzernerfahrung wünschenswert Option auf VerlängerungEin spannender AufgabenbereichBetreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Fachliche Abstimmung und Beratung anderer Fachabteilungen und mit den anderen regionalen Gesellschaften Übergeordnete Steuerung und Überwachung des operativen Facility-Managements sowie Sicherstellung des Berichtswesens Implementierung und Überwachung von KPI's im Bereich CREM (Corporate Real Estate Management) Betreuung und Weiterentwicklung des CAFM-Systems (Computer-Aided Facility Management) Weiterentwicklung der Digitalisierung im Immobilienmanagement und Gebäudebetrieb Perspektivisch Ausweitung des Aufgabenbereichs auf die FM-Beratung des internationalen Portfolios Fachrichtung Facility Management, Gebäude-, Versorgungs-, Elektrotechnik oder aus einem artverwandten Bereich Umfangreiche Kenntnisse und fundierte Projekterfahrung in den Bereichen Betreiberverantwortung und Facility Management Ausreichend sehr fundierte Expertise Hohe technische und organisatorische Kompetenz sowie lösungsorientiertes, eigenverantwortliches sowie prozessuales und analytisches Denkvermögen Ausgeprägte Auffassungsgabe, Fähigkeit komplexe Strukturen zu erfassen Sicheres überzeugendes Auftreten, Durchsetzungsvermögen mit ausgeprägter Kommunikationsfähigkeit und Empathie sowie Kooperationsfähigkeit Sicherer Umgang mit MS Office, SAP und CAFM Konzernerfahrung wünschenswert Option auf Verlängerung Ein spannender Aufgabenbereich Betreuung und Vergütung durch Hays Ihr Kontakt Referenznummer 862253/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
Stellenbeschreibung Dabei hast Du Spaß: Telefonischer und schriftlicher Kontakt zu Neukunden und Bestandskunden Führen von Schriftverkehr von verschiedenen Bereichen Beratung, Planung und Gewinnung von externen Mitarbeitern Das bringst Du mit: Spaß an einer neuen beruflichen Herausforderung Erste Erfahrungen im Bereich Büro, Computer und Kontakt zu Kunden sind von Vorteil, aber keine Voraussetzung Teamfähigkeit, Zuverlässigkeit, Zielstrebigkeit und Empathie Freu Dich auf: Eine geregelte 40 Stundenwoche (Mo-Fr 08:00 - 17:00 h) Reale Entwicklung;- Karrierechancen Überdurchschnittliche Bezahlung und Provisionsmodell Moderner Arbeitsplatz Flache Hierarchien und kurze Entscheidungswege Sozialleistungen wie vermögenswirksame Leistungen Bei Interesse bieten wir einen Probetag zum Reinschnuppern an.
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
Review operational costs, negotiate contracts with vendors, and manage vendor relationships. Requirements: Bachelor's degree in Engineering, Computer Science, or a related field. HV Authorised Person (Experienced with HV Systems) Electrical/Mechanical Engineering HNC or HND (Successfully completed apprenticeship in either) C&G Pts. 1 & 2, equivalent or exceeds. 17th Edition IEE: Wiring and Installation (Ability to attain 18th Edition through additional training) C&G 2391 test and inspection; BS 7671:2001 for inspection, testing and certification.
Rethink Retail: Stay in front of emerging trends, analyze, and design next-gen business processes across omnichannel environments. What You Bring Education: Degree in Computer Science, Information Technology, Management Information Systems, or relevant discipline. Experience: Strong experience in the Central/Latin America retail market and POS process knowledge.
Das passt zu dir, wenn … du eingeschriebene:r Student:in (m/w/d) bist zum Beispiel in:A InformatikHuman Computer Interaction (HCI) oder verwandte Fachrichtungen Individuelle Unterstützung: Ein:e feste:r Ansprechpartner:in steht dir zur Seite, beantwortet deine Fragen und hilft dir, dich in Projekten sicher und selbstbewusst einzubringen.Learning & Wachstum: Du lernst nicht nur neue Technologien kennen, sondern bekommst echte Einblicke in moderne Softwarearchitekturen und agile Arbeitsweisen.Regelmäßiges Feedback: Kein „wir gucken mal“, sondern ehrliche Rückmeldungen, die dich weiterbringen – damit du Schritt für Schritt wächst.Flexibles Arbeiten: Ob Homeoffice, Büro oder ein Mix aus beidem – du entscheidest, wo du am produktivsten bist.Gleitzeit nach Maß: Dein Studium, dein Leben – deine Arbeitszeiten.
This appeals to you: Design, develop, and implement embedded software solutions for various microcontrollers and processorsCollaborate with hardware engineers to define software architecture for embedded systems, considering hardware constraintsWrite efficient, reliable code in C, C++, or assembly language for embedded systemsDevelop software for RTOS (Real-Time Operating System) to ensure timely and predictable task executionCreate and optimize drivers for peripherals and interfaces like sensors, actuators, and communication modulesIdentify and resolve issues through debugging and testing to ensure system stability and performanceWork with cross-functional teams, including hardware engineers and quality assurance, to deliver integrated solutionsImplement security measures to protect embedded systems from vulnerabilities and cyber threatsOptimize code and algorithms for resource-constrained environments, considering factors like power consumption and memory usage This is you: Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a related fieldProficiency in programming languages such as C and C++Experience in embedded systems development with knowledge of microcontroller/microprocessor architecturesFamiliarity with real-time operating systems (RTOS) and embedded development toolsKnowledge of communication protocols (e.g., SPI, I2C, UART) and networking protocols is a plusUnderstanding of hardware design principles is advantageousStrong problem-solving skills and attention to detailExcellent communication skills for effective collaboration and documentationIndustry-specific certifications or relevant experience may be preferredGood German and Englisch language skills What we offer: Future prospects in an innovative, growing, and agile companyAn exciting work environment with diverse career opportunitiesCompetitive, industry-standard / above-industry-standard salaryFlexible working hours and the option for remote work30 vacation days per year and special leave for significant occasions when employed at Xtended EngineeringBonus programs for referrals and employee recruitmentTeam events Xtended Engineering GmbH connects skilled engineers with companies in the industrial and commercial sectors.
Deine Aufgaben bei Organifarms Pfad- und Trajektorienplanung sowie Regelung von 7-Achsrobotern in dynamischen Umgebungen Weiterentwicklung und Test von Schnittstellen zum Computer Vision System Weiterentwicklung und Pflege der Schnittstelle zum Roboterarm Rapid Prototyping deiner Entwürfe und Ideen in der Simulation und auf realer Hardware Deine Qualifikationen Abgeschlossenes Informatik- oder Robotikstudium (oder vergleichbarer Studiengang) Erfahrung mit ROS und Paketen zur Pfadplanung und Regelung (z.B.
Deine Aufgaben bei Organifarms Pfad- und Trajektorienplanung sowie Regelung von 7-Achsrobotern in dynamischen Umgebungen Weiterentwicklung und Test von Schnittstellen zum Computer Vision System Weiterentwicklung und Pflege der Schnittstelle zum Roboterarm Rapid Prototyping deiner Entwürfe und Ideen in der Simulation und auf realer Hardware Deine Qualifikationen Abgeschlossenes Informatik- oder Robotikstudium (oder vergleichbarer Studiengang) Erfahrung mit ROS und Paketen zur Pfadplanung und Regelung (z.B.
Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
So sieht Dein Tag bei uns aus In drei Jahren tauchst Du tief ein in die spannende Welt der Logistik – von der ersten Anfrage bis zur letzten Unterschrift Du lernst, wie man Transporte plant, Kosten kalkuliert, Routen optimiert und Kunden professionell betreut Du organisierst die Einsätze unserer LKW-Flotte und sorgst dafür, dass jede Tour wirtschaftlich, sicher und nachhaltig abläuft In Deiner Ausbildung wirst Du Profi für Versand, Umschlag und Lager – bei uns keine trockene Theorie, sondern echte Praxis Du arbeitest eng mit Kunden, Fahrern und Kollegen aus ganz unterschiedlichen Abteilungen zusammen – Kommunikation ist Dein Werkzeug Dabei entwickelst Du ein tiefes Verständnis für umweltfreundliche und ressourcenschonende Logistiklösungen – eben das, was REMONDIS ausmacht Unsere Ausbilder und Ausbildungsbeauftragten sind immer für Dich da – bei Fragen, Herausforderungen oder neuen Ideen Deine Qualifikationen auf einen Blick Einen erfolgreichen Schulabschluss – Haupt-, Real- oder (Fach-)Abitur Interesse an Organisation, wirtschaftlichen Zusammenhängen und moderner Kommunikation Du arbeitest gerne mit dem Computer, aber auch mit echten Menschen Du denkst mit, handelst strukturiert und bleibst ruhig, auch wenn’s mal stressig wird Deine Stärken: Teamfähigkeit, Verlässlichkeit und Eigeninitiative Du hast Lust, mit uns die Logistik von morgen zu gestalten Unser Angebot für Deinen Einsatz Steige bei uns ein und profitiere von den Stärken, die REMONDIS als Unternehmensgruppe mit sich bringt.
Create clear, structured documentation that supports both internal teams and end users. What you bring A degree in Computer Science or a comparable qualification. Several years of professional experience in Java-based software development, with knowledge of relevant tools, technologies, and frameworks including Spring, Maven, Eclipse, Git, Jenkins, Mockito, PostgreSQL, and MSSQL.
Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.Strong business acumen including confidence with financial considerations, excellent negotiation and influencing skills, and comfort working in both sales and operational environments.Strong customer management skills and demonstrated ability to understand customer needs, have difficult conversations with internal/external stakeholders and customers, negotiate solutions and understand impacts on the overall program/portfolio.Strong leadership skills, ability to lead a virtual team in a matrix organization.Ability to work strategically to realize organizational and project goals, identifying and developing positive and compelling visions for the successful delivery of projects and taking account of a wide range of issues across, and related to, the projects and the organization.Strong presentation skills.Excellent written, verbal communication and interpersonal skills, including good command of English language (both written and spoken).Strong software and computer skills, including MS Office applications.Must have prior experience in the Clinical Research Organization (CRO) industry MINIMUM REQUIRED EDUCATION AND EXPERIENCE Bachelor's degree in life sciences and relevant global clinical research experience (director level), including hands on operational delivery and/or drug development experience in the applicable therapeutic area (Internal Medicine/Immunology) At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world.
Ensure quality through unit testing, code reviews, and close collaboration with your team. What You Bring A degree in Computer Science or a comparable technical field. Solid experience in frontend development – especially with TypeScript and Vue.js. Ideally, familiarity with Docker, Kubernetes, Linux/Windows, and GitLab.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Du interessierst dich besonders für: Computer Vision. Action Recognition und Human Pose Estimation. Deep Learning (z. B. CNNs, Transformer-basierte Architekturen). Verarbeitung und Analyse von Video- und Bilddaten.
YOUR TASKS Design and maintain scalable data architectures and pipelines Collaborate with cross‑functional teams on data requirements Implement data quality and governance processes Drive adoption of modern data engineering technologies Guide and coach junior data engineers YOUR PROFILE Degree in Computer Science, Engineering or related field Minimum of 5+ years experience in data engineering, including architecture Expertise in ETL, Data Lakes and data warehousing Strong SQL, SSIS, SSAS and Azure SQL/databricks skills Experience with CI/CD (Azure DevOps, git) Programming skills in R, Python or Scala Very good English and strong collaboration skills YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Du interessierst dich besonders für: Computer Vision. Action Recognition und Human Pose Estimation. Deep Learning (z. B. CNNs, Transformer-basierte Architekturen). Verarbeitung und Analyse von Video- und Bilddaten.
What makes you stand out You hold a Master’s degree in Economics, Mathematics, Statistics, Computer Science, or another related quantitative field.You bring at least 3 years of professional Data Science experience and have a proven track record of bringing models from the lab into real‑world production use cases.You are proficient in Python and SQL and have hands‑on experience building solutions on Azure and working with Snowflake.You have a deep understanding of statistical methods and apply them effectively in an agile, fast‑paced environment.You think in products, not experiments – model versioning, testing, and performance monitoring are second nature to you.You communicate complex topics clearly and with impact, presenting to different audiences confidently; you are fluent in English, and German skills are a plus.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
Ihr Profil Erfolgreich abgeschlossenes wissenschaftliches Hochschulstudium (Master oder vergleichbar) der Fachrichtung Informatik, Computer Engineering Science (CES), Software Engineering oder einer vergleichbaren Fachrichtung • Programmiererfahrung in C++, C#, Python, JavaScript oder vergleichbar • Grundkenntnisse in den Bereichen Edge-/Cloud-Computing, Containervirtualisierung bzw.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Support process and design clarification in collaboration with Project Engineering colleagues. YOUR PROFILE Degree in Electrical Engineering, Electronics, Computer Science, Information Systems, Information Technology, or a related field. 1–3 years of relevant professional experience combined with CCNA certification and proficiency in drawing tools such as Microsoft Visio and strong knowledge of communication protocols Experience in IT/OT network configuration, including IP concepts, firewalls, and port management.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
WHAT YOU WILL DO Receive requests for support from business users Prioritize requests in accordance with agreed criteria and the needs of the organization in accordance with Service Level Agreements and current processes and procedures Investigate problems and support requests and determine appropriate action Provide correct responses to requests for supportwithin area of competence which include manipulating data, reconfiguring systems, helping to implement changes to operating procedures, training users or operations staff, producing additional documentation, or escalating requests Follow quality standards and policies relating to their technical specialization Liaise with staff responsible for the design and development of system enhancements Be assigned with specific project related tasks APPLICATION YOU WILL USE: Unix / Linux commandShell ScriptingOracle SQL WHAT YOU SHOULD HAVE: Degree in Computer Science, Information Systems or equivalent experience 1-2 years of working experience in performing L2 application support of large enterprise application Must have hands on knowledge on scripting languages like Java script and Shell Script.
WHAT YOU WILL DO Receive requests for support from business users Prioritize requests in accordance with agreed criteria and the needs of the organization in accordance with Service Level Agreements and current processes and procedures Investigate problems and support requests and determine appropriate action Provide correct responses to requests for supportwithin area of competence which include manipulating data, reconfiguring systems, helping to implement changes to operating procedures, training users or operations staff, producing additional documentation, or escalating requests Follow quality standards and policies relating to their technical specialization Liaise with staff responsible for the design and development of system enhancements Be assigned with specific project related tasks APPLICATION YOU WILL USE: Unix / Linux commandShell ScriptingOracle SQL WHAT YOU SHOULD HAVE: Degree in Computer Science, Information Systems or equivalent experience 1-2 years of working experience in performing L2 application support of large enterprise application Must have hands on knowledge on scripting languages like Java script and Shell Script.
Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
Skills & Attributes Strong interpersonal skills and customer‑driven mindset.Strategic thinker with strong business acumen and commercial agility.Impactful communicator with the ability to lead, motivate, and influence teams.Results‑driven leader with a proactive, energetic, and collaborative approach.Excellent computer skills (MS Office, Word, Excel, PowerPoint).In return, we offer We believe there is always a better way. Open for change and feedback is what defines our culture.
Experience with OpenCL is required, particularly for implementation on heterogeneous compute platforms such as Qualcomm architectures. Strong background in digital signal processing and statistical signal processing. Experience in HF technology and/or antenna design.
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
The position has a high travel requirement, domestically and/or internationally Capability to comprehend and adapt to rapidly changing technologies Proficient computer skills utilizing MS Office basic programs (MS Word, Excel, Outlook, PowerPoint) Will be a plus familiarity with several technologies such as Mechanical & rotating systems, basic understanding of hydraulic systems.
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!