Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We are looking to recruit highly motivated engineers and scientists that can successfully rise to the diverse challenges in the emerging market of Internet of Things.

This is who we need: You extract, analyse and communicate reports and statistics for our business teams and partnersYou transform recurring analyses into KPIs we can easily monitorYou set up the tracking of our ad campaigns, so we all can optimise them daily or even in real-timeYou monitor the user flow from acquisition to monetisation and find new ways to maximise margin thereFrom business bird’s-eye-perspective you simplify processes, making them more transparent on the wayYou automate recurring manual processesThis is who you are:

GfK is looking for a (Junior) Machine Learning Engineer (m/f) in Nuremberg GfK is a technology company active in the market research area. With immediate effect, we are looking for development support for our Global Data Science group. You are not only looking for the next gig for your CV but for a permanent occupation in an interesting and continuously changing environmenta good fit for our culture and also you will add value to itan future expert in development of custom machine learning models from prototyping to scalable implementations.

Your tasks Recording and solving customer problems in different branches via ML/DM toolsIdentifying data sources and researching technical questionsConsolidation from data and analysing results, such as visualization and recommendations for the ongoing procedureCoordination from internal and external projects as well as creating and presenting of customer presentationsPlanning and visualization of different project tasksYour skills Successfully completed studies as a bachelor/master in computer science, business administration, mathematics or similarKnowledge in the newest analytic procedures like Data Mining, Statistical Modelling and Machine LearningExperience with Big Data technology, e.

To strengthen our international team in Berlin, we are offering a full-time position as     Engineering Lead, Data Platform (m/f) Crealytics is a fast-growing technology company whose data-driven platform enables global e-commerce retailers to drive performance in product advertising and paid search. Our innovative products support our clients by automating their workflow and generating valuable intelligence. Crealytics is generating € 3 billion in annual client revenue for top internet retailers such as Footlocker, ASOS, and Harrods, enabled by 170 employees in our Berlin, London, Passau, and New York City offices.

At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. We’re now active and growing in 9 different countries in 3 continents. Our story started in Berlin.

We want to grow our successful German business and therefore we are looking for a Senior Data Scientist (m/f) based in Berlin, Germany. Your tasks You analyze our data and prototype demand forecasting and customer behavior models You use statistical models to answer real-life questions like You answer questions such as “How many people will travel from Berlin to Munich during  Octoberfest?”, “What are the effects of price changes?”, “What will be the new trending vacation destinations next summer?

Your Responsibilities: Deliver value to our clients in all phases of the project life cycleConvert specifications to detailed instructions and logical steps followed by their implementationBuild program code, test and deploy to various environments (Cloudera, Hortonworks, etc.)Enjoy being challenged and solve complex data problems on a daily basisBe part of our newly formed team in Berlin and help driving its culture and work attitudeJob Requirements Strong experience developing software using Java or comparable languages (e.

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou! We are looking for adventurers to join our smart and inspiring team! TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. Our data is directly integrated on Google Maps, hotels.

To strengthen our international team in Berlin, we are offering a full-time position as     Machine Learning Engineer, Bid Management (m/f) Crealytics is a fast-growing technology company whose data-driven platform enables global e-commerce retailers to drive performance in product advertising and paid search. Our innovative products support our clients by automating their workflow and generating valuable intelligence. Crealytics is generating € 3 billion in annual client revenue for top internet retailers such as Footlocker, ASOS, and Harrods, enabled by 170 employees in our Berlin, London, Passau, and New York City offices.

Our Marketplace team is looking for a Team Lead to help them successfully reach all their Data Science goals! Marketplace’s core responsibilities are: Creating a delightful & consistent experience for users who search for the best rate.Enabling our advertisers to run superior marketing campaigns.Monetizing our product at the highest efficiency.What you’ll do: Establish a vision for the team, and cooperate with your Product Owner on Roadmaps to realise that vision.Create better and smarter algorithms, independently, and with your team.

Gestalten Sie gemeinsam mit uns die digitale Zukunft und sorgen Sie dafür, dass Innovationen sicher sind! TÜV SÜD begleitet mit weltweit 24.000 klugen Köpfen seit 150 Jahren High-Tech-Entwicklungen und Innovationen: vom Dampfkessel bis zum autonomen Fahren. Mit Ihrem Expertenwissen stärken Sie TÜV SÜD in der Weiterentwicklung bestehender und neuer Geschäftsfelder. Wir freuen uns auf Ihre Bewerbung am Standort München als Data Engineer (w/m) im Bereich Data Analytics AufgabenKonzeption und Umsetzung (Rapid Prototyping) skalierbarer Architekturen für State-of-the-Art Big Data-AnwendungsfälleUmsetzung komplexer ETL-/ELT-Prozesse auf Basis aktueller Big Data-TechnologienAustausch mit Projektteams interner und externer Kunden zur AnforderungsanalyseUse Case-getriebene und agile Zusammenarbeit in kleinen Teams mit Fachexperten, Data Scientists sowie Data ArchitectsPerformance-Optimierungen und Skalierbarkeitsanalysen für Analytics Use Cases nahe der Echtzeit und im BatchDefinition und technische Umsetzung von Maßnahmen zur Sicherung der Datenqualität über den gesamten DatenlebenszyklusVerantwortung für Konfiguration, Management und Betrieb der Rapid Prototyping-Umgebungen, einschließlich der Datenbank- und Storage-UmgebungenVerfolgung von Trends im Analytics- und Big Data- Umfeld sowie Mitwirkung bei strategischen Initiativen des TÜV SÜDQualifikation

As Data Warehouse Architect (m/f) you will take a key role in the evolution of our data warehousing systems. You will be shaping the future of our data warehouse solution based on big data technologies and be responsible for driving its implementation in accordance with decisive business requirements. Your Job:  You will take control of the present data warehouse solution and be in charge of designing, validating and implementing improvements to the system architectureYou will make sure the system is reliably capable of handling large volumes of data and fulfill the necessary analytical processing load, while keeping maintenance efforts at bayYou keep an eye on providing robust, easy to use solutions, which allow efficient day-to-day operations by yourself and your team members, regarding system maintenance as well as the implementation of ETL pipelines and business reportsYou will be conceiving and implementing ETL jobs, integrating and aggregating data from many disparate internal and external sources, advancing data quality and consistencyYou will be in direct contact with stakeholders and analysts from business departments and game studios, understanding their business requirements and translating them into technical solutionsYour Profile: 

The Opportunity Zalando is transforming from Europe’s leading e-commerce company into a multi-service platform for fashion. From logistics, to big brands, to manufactures - we’re building the platform that connects all people and parts of the fashion ecosystem. You will work for the Data Services department in Zalando, in the team that is taking care of defining our Data Lake. The Data Lake is a platform that aims to collect all the data and business events generated within Zalando, in near-real-time and batch manner, archive them, offer transformation functionalities and data access that will be used to take data-driven decisions.

We are currently looking for a motivated and experienced Data Infrastructure Lead (m/f). You will be the lead of a growing Data Engineering Team at mytaxi that works with an extensive variety of data systems in order to expand and develop an analytical platform that enables business users and data scientists to make data driven decisions, build innovative data products and roll out advanced analytics. The Data Engineering Team is committed to developing a modern data infrastructure at mytaxi based on a Hadoop Data Warehouse.

Sie werden Teil unseres sehr engagierten und kollaborativen Advanced-Analytics-Teams und beschäftigen sich mit spannenden Projekten aus allen Branchen. Wir arbeiten eng mit Klienten und Content-Experten zusammen, um Analytics-Lösungen, -Expertise und -Fähigkeiten in die Organisation unserer Klienten einzubetten. Durch die Kombination von strategischen und Business Insights mit den neuesten analytischen Techniken helfen wir unseren Klienten, aus Daten maximalen Nutzen zu ziehen und kritische Probleme datengetrieben zu lösen. Ihre Aufgabe: Sie entwickeln als Spezialist mit Hilfe von Advanced-Analytics-Methoden Lösungen für die herausfordernden Problemstellungen unserer Klienten – von der Konzeption über die Modellbildung bis zur Übergabe in die Implementierung.

Mach mit bei uns  Große Datenmengen sind deine Leidenschaft und alles, was mit Big Data zu tun hat, findest du spannend? Prima, wir auch! Zur Verstärkung unseres Big Data Teams suchen wir motivierte und selbstständige Kolleginnen und Kollegen, die Lust haben, mit uns die technologische Zukunft aktiv mit zu gestalten: Du konntest bereits erste Erfahrungen im Hadoop Umfeld sammeln und kennst die Komponenten des EcosystemsIm Umgang mit Linux bist du fit und ggf.

As Zalando transforms from Europe’s leading e-commerce company into a multi-service platform for fashion, this is an exciting time to join us. As [insert job title], you’re part of a high performing team, building technologies that connect every part of the fashion industry. We live Radical Agility, a methodology built on trust and backed by an architecture that lets us move fast while keeping complexity low. Open Source and InnerSource development is integral to our engineering practices and culture, supported at every level.

We are Covestro. We are curious. We are courageous. We are colorful. We redefine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 16,000 colleagues now and together we will MAKE the world a brighter place. Senior Data Engineer (m/f) YOUR TASKS AND RESPONSIBILITIES The newly founded Advanced Analytics department is tasked to tame the data generated within the Covestro group, utilizing machine learning and artificial intelligence for solving data use cases and providing expert advise on all these topics.

A Data Engineer at trivago supplements our cutting-edge analytics teams and brings our data platform to the next level. They achieve this by creating real-time streaming processes to ingest millions of messages every minute. In this role, you design, implement and support data models and ETLs in Hadoop in order to process several terabytes of data each week. You also set up monitor processes and be first in line to deal with and solve data-related problems or errors.