#thecompanyAt FreightHub, we are building the backbone of global trade. We are revolutionizing logistics by making it easier, faster, and more cost-efficient to move goods from point A to point B anywhere in the world – via container ships, planes, trucks, and trains. By radically automating processes and designing a superior user experience we make buying and selling goods anywhere on the globe more efficient and easy than ever before. If you aim to create impact with your work, solve real-world problems, and digitalize a multi-trillion-€ industry that fosters global prosperity, we’d love you to join FreightHub!

Job ID: 183598 Ort: Muenchen Organisation: Digital Industries Art der Anstellung: Permanent / Full-timeDigitaler Mehrwertschaffer.Unsere Big Data Scientists holen aus den Daten das, was andere nicht einmal sehen können: Lösungen, Potenziale, Visionen. Aus riesigen Mengen an Informationen filtern sie die wirklich relevanten heraus, um diese optimal zu nutzen. So helfen sie dabei, die Produktion in Fabriken, den Verkehr in unseren Städten oder den Transport auf den Schienen noch effizienter zu machen.

solarisBank is the world’s first banking platform. Our goal is to empower finance pioneers - anyone who wants to build something new with banking services. The core of the company is fast, modern technology that makes our banking services quick to setup and simple to build with. We see ourselves as a tech company with a full banking license. Our international team of 180+ colleagues combines digital focus, tech expertise and banking experience.

As Software Developer (f/m/d), you build the next generation of presence detection. With your know-how and state of the art algorithms you increase the quality and performance of our system. With your help we master every situation fully automated. What you do with us You’re playing a part in the heart of vilisto: The presence detectionYou test and implement different algorithms for presence detectionYou examine the performance of the algorithms usedYou improve prediction and recognition qualityYou automate the evaluation of the data and the parameterizationWhat you bring along

solarisBank is the world’s first banking platform enabling businesses to create custom solutions for their financial needs. The core of the company is a fast and modern technology which makes our banking services quick to setup and simple to build. With a full EU banking license, we combine agile engineering with the regulatory expertise of a fully licensed bank.  By combining digital focus, tech expertise, and banking experience we enable our partners to offer various digital financial services to their end-consumer.

Evaluierung und Weiterentwicklung datengetriebener Methoden zur Verbesserung der Vorhersagegüte numerischer Simulationen im Flugzeugentwurf Mathematiker/in, Informatiker/in o. ä. Ihre Mission: Das Institut für Softwaremethoden zur Produkt-Virtualisierung in Dresden beschäftigt sich mit der Entwicklung softwaretechnischer Grundlagen zur Realisierung des virtuellen Produkts auf Basis einer hochgenauen mathematisch-numerischen Beschreibung. Voraussetzungen hierfür sind zum einen multidisziplinäre Simulationsverfahren und Prozessketten/Plattformen, die auf eine effiziente Nutzung künftiger Hochleistungsrechner ausgerichtet sind. Zum anderen werden Forschungsthemen im Bereich datengetriebener Methoden und des Managements, der Analyse und Weiterverarbeitung großer, heterogener Datenmengen verfolgt, um den spezifischen Herausforderungen zur Realisierung und Nutzung des Virtuellen Produkts zu begegnen.

At a Glance: Due to a propelling growth in our direct to consumer business, we are looking for a Data Scientist to shape the next growth phase of On’s online business. You will work in a cross-functional growth team together with a growth master, digital designer and software engineers to build and hack new digital products for elevated growth. With experience in handling big data sets, you will contribute with a data-driven decision making culture, turn your insights into growth initiatives and build data products for increased performance.

We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, Spark, and streaming solutions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. If you’re the person who leads their team in replacing an aging system, or dives fearlessly into the guts of a running system to fix that bug everyone else is happy to gloss over, then you’re the one we’re looking for!

Entwicklung und Erprobung effizienter CFD-Methoden für den digitalen Flugzeugentwurf Ingenieur/in Luft- und Raumfahrtechnik, Mathematiker/in o. ä. Ihre Mission: Das Institut für Softwaremethoden zur Produkt-Virtualisierung in Dresden beschäftigt sich mit der Entwicklung softwaretechnischer Grundlagen zur Realisierung des virtuellen Produkts auf Basis einer hochgenauen mathematisch-numerischen Beschreibung. Zu diesem Zweck werden zugeschnittene HPC-Berechnungsmethoden zur effizienten instationären Simulation des fliegenden Flugzeugs entwickelt. Im Rahmen eines Patenschaftsvertrags mit Airbus Operations GmbH in Bremen soll der von DLR, ONERA und Airbus gemeinsam entwickelte CFD-Code RHEA der nächsten Generation hinsichtlich eines effizienten, linearen Lösungsverfahrens für zeit-periodische Strömungen im Frequenzbereich (LFD) erweitert werden.

Position: Quantitative Developer/Data Scientist Internship Pensum: 6 months, 80%-100%, starting immediately or by arrangement. Possible subsequent permanent position Company Move Digital AG is a Swiss fintech firm based in Zurich (next to Sihlcity), that accompanies financial institutions on their path to digitalization (www.movedigital.ch). Founded in 2013, now with a team of over 40 professionals from more than 16 countries, we collaborate with partners across EMEA and Asia. Move Digital AG offers a non-hierarchical, inclusive international working environment with many opportunities to take ownership in crafting a new definition of private banking.

ABOUT US The idea for delicious data was born when we had a late lunch at our cafeteria and there was still plenty of food available. That was the moment when we started to think about how kitchens plan their menus and numbers of meals. In Germany alone, restaurants and other food service businesses throw away roughly 2 million tons of food every year. One main reason for this problem is overproduction due to uncertain guest demand.

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?Then come and join our global team as Senior Data Scientist (m/f/d) for Artificial Intelligence Products to shape worldwide transformation in medicine by driving the development and commercial success of breakthrough AI products.

As a Senior Data Engineer at Zenjob you will transform all of our business requirements into innovative Business Intelligence solutions, which effectively support our business. The focus of this role is data modeling for data warehousing. You are responsible for the development of the ETL code. Furthermore, you will deploy and monitor all data products including DWH, ETL Framework, and Data Streaming. We would like you to develop and deploy a Cloud based infrastructure (AWS) as a valid solution.

As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a data-driven approach is a key success factor for our business. Therefore we aim to enable our technical and non-technical internal customers to base their everyday business decisions on hypotheses that are proved by data. We are looking for a Data Scientist highly passionate about developing and operationalizing machine learning models.

Once here you will Drive the development of highly scalable Data Warehouse and Data Lake at N26.Work closely with data analysts/data scientists and other groups to support them with various tasks and implement new ETL pipelines.Dive into the company’s data to analyze it, find patterns and play around in other ways.What you will bring along At least 3 years of experience in Data Engineering or related fieldsStrong knowledge of big data technologies and frameworks (Spark, Parquet, ORC, Hive, Drill, Impala, Presto, etc.

About Us Opinary has one mission: We make opinions matter - on the web and in real life. Globally, people use our polling technology to share their opinion with one simple click. The instant visualization of opinion trends enables our users to engage in an open dialogue and to understand complex debates. By harnessing the latest advances in Machine Learning, NLP and a distributed systems design, our platform ensures that our content always stays relevant to the reader.

Aufgaben  Für unser junges Big Data Team suchen wir Verstärkung! Entwickeln Sie gemeinsam mit uns die neue Tchibo „leading edge“ BI-/Big-Data-Architektur weiter! Durch moderne Open-Source-Software und skalierender Cloud-Infrastruktur arbeiten Sie in diesem jungen Bereich an einem Realtime-fähigen Event Data Lake. Auf dieser Basis werden leistungsfähige und hochverfügbare „Data Services“ wie z.B. neue Self-Service BI Portale, Realtime-Scorings oder Machine Learning Modell mit unseren Data Scientists sowie den Fachbereichen entwickelt. Von der Anbindung von Datenquellen mit strukturierten/unstrukturierten Daten, über die Datenintegration und der Bereitstellung einer Machine Learning Infrastruktur für unsere Data Scientists, bis hin zu unseren Analyse-Tools und -Frontends entwickeln wir hoch performante Daten-Pipelines und Streaming-Architekturen.

Entwicklungsingenieur Data Science, Computer Vision und Machine/Deep Learning (w/m)Ref.-Nr.:700024AnstellungsartVollzeitVertragsartUnbefristeter VertragFür den StandortZürichsuchen wir eine/nEntwicklungsingenieur Data Science, Computer Vision und Machine/Deep Learning (w/m)WOFÜR WIR SIE SUCHEN- Erarbeiten von integrierten Systemlösungen für die Detektion und Klassifikation von Flugobjekten auf Basis von elektro-optischen Sensoren (Image Processing)- Anwenden von bekannten Werkzeugen und Sprachen aus dem Bereich Data Science, Computer Vision und Machine/Deep Learning (Matlab, C++, Python)- Betreuung von verschiedenen Hardware-Plattformen (CPU, GPU, Embedded) für Training und Einsatz von anwendungsspezifischen Entscheidungssystemen- Handhabung von grossen Datenmengen (Erfassung, Ablage, Annotation etc.

Delivery Hero is building the next generation of online food-delivery platforms. We are truly international with engineering teams in 12 countries and operations in 40+ countries. Delivery Hero Tech has played an instrumental role in the large growth of our company. Our Tech teams leverage a diverse stack to create cutting-edge solutions which cover the full customer experience - starting with an online search for food and ending with a delicious meal arriving at your doorstep.

Your playing field Your mission is to drive the work of our “Artificial Intelligence Lab”, thriving for the highest possible quality in document extractionYou translate our company wide goals into an overall AI tech strategy, providing focus & directionYou support agile processes to coordinate and prioritise the tasks of the AI teamYou lead and mentor the AI team, motivating your coworkers to deliver high quality workYou act as an input-giver that also assist operatively, if necessaryYou will actively support the growth of the AI Team and help us find the brightest tech talentYour profile