As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in science and industry. Our services as a university library secure the local supply for the Leibniz University Hannover. The Technische Informationsbibliothek (TIB) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Postdoctoral Researcher in the area of Scientific Data Management and Knowledge Graphs (m/f/d)

DEIN AUFGABEN- & VERANTWORTUNGSBEREICH Als KI-Entwickler (m/w/d) verantwortest du den gesamten Entwicklungsprozess.Du bist zentrale Ansprechperson für unsere internen und externen Kunden, organisierst die Entwicklungstätigkeiten und dokumentierst diese.DAS BRINGST DU MIT Abgeschlossenes (Fach-)Hochschulstudium der Softwaretechnik, Informatik oder eine abge­schlossene Berufsausbildung mit informationstechnischem Schwerpunkt, z. B. zum Fach­infor­matiker (m/w/d), sowie relevante BerufserfahrungDu beherrschst die folgenden Programmiersprachen im Bereich Künstliche Intelligenz (AI) / Machine Learning: Python 3, Golang / Rust, JavaScript / HTML5 (speziell React)Du hast mit den folgenden Technologien bereits praktische Erfahrungen gesammelt: TensorFlow / PyTorch, ML-Stack (numpy, pandas, scikit, …), Datenbanken (SQL, NoSQL), Web-, Cloud-, Linux-Server, Machine Learning (ML), gerne auch Computer Vision (CV) und PythonWAS WIR BIETEN?

Want to be a hero - Join the #1 Global Leader in Online Food Delivery! We are looking for a Senior / Mid-level Data Engineer - (Global Service Tech) (f/m/d) to join our Global Service Tech team and to contribute to the creation of Delivery Hero’s new Automation & Support Platform. As Delivery Hero grows, addressing our customer’s, rider’s, or restaurant’s support issues quickly and with as little friction as possible is crucial to our ability to create an amazing experience for our users.

The Role Data is a core advantage of OTT/Unicast TV over traditional broadcast. As platform operator we know exactly what content our users watch, how popular a show is and how many seconds of each and every ad campaign is viewed. With roughly 3 million active users every month the data we collect from them allows for efficient and precise business processes and data based decision making. At Zattoo we already leverage a lot of our data (we process 6TB daily!

As Data Engineer (f/m/d) you’ll be working in the backend of our event-driven platform to build out our vast data layers. You’ll have an opportunity to work in a highly flexible and adaptable architecture, work closely with experts to both share and expand your knowledge and skills, and develop yourself into a true craftsman. Responsibilities Design, development, and enhancement of our data lake Design and develop backend services that feed the lake and provide the data to others, applying craftsmanship such as good Design Patterns, Testing, and considering robustness at scale

Apple’s Machine Learning and AI team transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting user data. With iOS 14 we launched our Translate app to translate words and phrases in up to 11 languages. You can also save translations for quick access, get definitions for translated words and download languages so you can use them offline. Join us to build the next generation of translation technology.

As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in science and industry. Our services as a university library secure the local supply for the Leibniz University Hannover. The Technische Informationsbibliothek (TIB) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Engineer in the field of Research Data Management (m/f/d)

Was dich bei uns erwartet:Du entwickelst Konzepte zur Speicherung und Verarbeitung von Vertragsdaten im Data Lake / Data Warehouse und zielst auf eine Real-Time Infrastruktur ab Du baust ETL-Strecken rund um die Sammlung, Speicherung, Pflege, Aufbereitung, Anreicherung und Weitergabe von Daten aufDu verstehst deinen Beitrag end-to-end, das heißt du gehst den Weg weiter zur Visualisierung zentraler KPIs über DashboardsUm die Geschäftssteuerung robust und datenbasiert zu ermöglichen, arbeitest du eng in einem cross-funktionalen Team an diesem ZielDu begleitest Initiativen zur Vernetzung bislang isolierter Datenbereiche und realisierst dazu den Auf- und Ausbau einer skalierbaren DateninfrastrukturDu wirst Teil eines hochmotivierten Teams, in dem agile Entwicklung und agiles Projektmanagement nicht nur leere Worthülsen sind, sondern kontinuierliche Verbesserung gelebte Realität darstelltWas du mitbringen solltest:Ein erfolgreich abgeschlossenes Hochschulstudium im Bereich Informatik/ Wirtschaftsinformatik ist von Vorteil, aber kein MussDu hast mehrjährige Erfahrung mit SQL und mindestens einer weiteren Programmiersprache, z.

Join OneFootball and become a vital part of the Data & Insights team: Data Engineers, Data Analysts and Machine Learning Engineers who are on a joint mission to build modern analytics infrastructure. Ensure that critical business metrics are defined, targets are set, and analytical approaches don’t rest in discovery but make their way into production. Some of the technologies we leverage in analysis are Python, AWS (Redshift), dbt and airflow.

Sebastian, Team Lead, says: “Team Red is a cross-functional team owning the DC Analytics platform, which not only powers our internal agency business but also is actively used by customers worldwide. We are a driven team which enjoys a good round of Mario Kart once in a while.” You will be working in: English (fluency required) - as we are an international team, this is our team (and company) language.

Signavio’s Data Insights team provides reliable data, tools, and services to stakeholders from within the engineering department as well as from other departments, enabling them to better understand our users, products & processes and allowing us to better track the progress on our goals, to shed light on business relevant information, and to enable data driven decision making throughout the whole organisation. Description Establish analytical reports and work on ad-hoc analytical requests from different stakeholders such as product leadership to understand detailed product usageIdeate and explore ways to support or invalidate business hypotheses and to provide the relevant insights for tactical and strategic decisionsConsult and enable peers on the broad topic of data analysis and bridge the gap between business and technologyWork closely with data engineers and other analysts to identify valuable data sets, potential data wrangling needs and work on a shared data repository to turn information into insightsIdentify and apply the tools and methods which answer analytical business needs bestRequirements

You see data as fundamentally important for business decisions. With your skills and experience in working with data lakes, event streams, and data pipelines, it is always easy for you to set up new infrastructure and processes, make necessary changes to the configuration and ensure reliable application and user access to the data. Your desk will be located in Munich or Berlin, but your impact will be global.What will you be doing:

foodpanda is on an ambitious mission - curating and delivering Germany’s best neighbourhood restaurants, stores and groceries right to the door. We’re changing the delivery landscape in Germany by providing everything people want and need, fast, and from one app. From favourite restaurants, to fresh groceries and local shops, we are connecting people to their neighbourhoods like never before. We wouldn’t be able to do this without an amazing network of dedicated riders, passionate partners and driven employees from across the globe.

As a data-driven company we are currently upscaling our BI and Data team. As Data Analyst you will join a team of Data Engineers, Data Product Managers and BI Specialists to create and maintain a culture of data-backed business decisions and support all of CoachHub’s departments.Tasks and responsibilities You analyze customer behavior and operational performance data in order to detect growth opportunities for the Business and improve user experienceYou perform A/B testing to evaluate business hypotheses.

Your tasks – this is what awaits you in detail As a Data Engineer (f/m/d) in our company, you act as an important interface between our DevOps, Data Science and software development divisionsYou develop scalable applications and systems for processing structured and unstructured dataYou deal comprehensively with many different data-related topics and have the right ideas for every situation: Whether it’s data exchange between microservices, processing huge amounts of data for recommender models, or lightning-fast, interactive business intelligence applications, we have the right solutionYour profile – this is what we expect from you

Deine Mission Du bist Teil unseres Data Teams und arbeitest darüber hinaus mit Kolleg*innen aus verschiedenen Business-Bereichen zusammen, um datengetriebene Entscheidungen zu unterstützen. Beim Thema Business Intelligence generierst du aus unstrukturierten Daten Erkenntnisse. Du erstellst Reports und Dashboards zur Visualisierung der Entwicklung relevanter KPIs. Du führst Detailanalysen durch, die uns helfen, unsere Kund*innen besser zu verstehen. Du bist am Aufbau einer entsprechenden Datenstruktur beteiligt und übernimmst dabei Aufgaben wie die Datenaufbereitung und -modellierung bis hin zur Ableitung von Handlungsempfehlungen.

Das erwartet Sie bei uns Gemeinsam mit unseren Kollegen und Kolleginnen beraten Sie unseren Kunden zum Einsatz von Maschinellem Lernen und Künstlicher Intelligenz in seinen Software-Lösungen. Sie analysieren die Machbarkeit von AI/ML-Projekten des Kunden unter dessen Gegebenheiten (z.B. Datenmenge und -qualität).Dabei schätzen Sie den Aufwand sowie die technischen Anforderungen für geplante AI/ML-Lösungen.Sie entwerfen für unseren Kunden passende Architekturen unter Einsatz der gängigen ML-Frameworks und Modelle.Sie sind an der technischen Implementierung in den Projekten beteiligt und kümmern sich um die, auf die Kundenbedürfnisse abgeschnittene, Weiterentwicklung bestehender AI/ML-Lösungen.

What you will do Here at Choco, we like to use the space shuttle as a metaphor for our engineering work. Now, you will join and help us bring the shuttle to the moon. Your big mission will be to support our operations in making the right decisions at the right time. You will do this by making our operations more data-driven and efficient, gathering and structuring data from internal and external data sources, structuring them and automating processes on the top.

…If you are passionate about data and analytical models, CheMondis will be love at first sight…Join us as a Data Scientist / Data Analyst and be part of our agile, cross-functional and international team. You will drive the growth and optimization of the CheMondis marketplace at a very early stage. YOUR MISSION Aggregation, transformation, analysis, and evaluation of data from multiple data sourcesMaintaining, evolving, and extending our existing data models in close collaboration with our data engineersVisualization and identification of data patterns and trendsDesign of customer behaviour models that have a direct impact on the daily business and the long-term development of our products and servicesAnalysis of market dynamics and their impact on new product initiativesConduction of ad-hoc analysis as well as creation of scalable long-term solutionsClose collaboration with product owners and stakeholders in creating and evaluating experiments to verify product hypothesis and directionIdentification of critical metrics to understand our business needs and drive our business performance in interdisciplinary collaborationConsultation of end-users on building their own dashboards on top of our data models

Want to be a hero - Join the #1 Global Leader in Online Food Delivery! We are looking for a Senior Data Engineer - (Global Service Tech) (f/m/d) to join our Global Service Tech team and to contribute to the creation of Delivery Hero’s new Automation & Support Platform. As Delivery Hero grows, addressing our customer’s, rider’s, or restaurant’s support issues quickly and with as little friction as possible is crucial to our ability to create an amazing experience for our users.