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.

Our development team is looking for a world-class data expert to provide a vision, strategy and development leadership for all data architecture and management of data for our product ecosystem. This is a rare opportunity to join a fast growing startup in a key future-oriented role. What connects us is a passion for cycling, digital technology, and good design as well as the desire to try out new things and always question the status quo.

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.

Your day-to-day challenges: Working on one of the most innovative risk models in the fintech industryApplying statistical and machine learning techniques to predict various business outcomesData wrangling and building mathematical models for practical applicationsAutomating parts of our feature engineering pipelineResearching new methodologies to improve our model building pipelineClose co-operation with data engineering and business unitsYour skills Include: 3+ years of working experience in data science, machine learning or statisticsGood understanding of probability and statisticsSolid knowledge about data structures and algorithmsExpert knowledge in Python, specifically pandas and scikit-learnFamiliarity with standard ML techniques (e.

Java software development front-end for the digital operating room Your work scope Together with a team you develop products based on the Java and web technology stack using well-known frameworksYou develop unit and integration testsYou create, document and communicate solutionsYou model interfacesYou create effort estimationsYou develop prototypes on your ownYour background Solid work experience with Javascript test libraries (e.g. mocha.js, sinon.js, chai.js, jasmine, karma), Javascript, Java, CSS3, HTML5, Bootstrap, JQuery, Thymeleaf, CSS Preprocessor (LESS, SASS), Spring MVC, Windows and Linux Operating Systems, Eclipse, GitExtensive knowledge of responsive design strategies & implementationFirst knowledge of HL7, DICOM, agile / Scrum technologies, HATEOAS concepts, Spring HATEOAS, Spring Boot, GradleBusiness-fluent English, incl.

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.

Data driven, analytical and team-spirited – our trainees are passionate about transforming mobility. With the Global Leader Development Programme you’ll work in agile teams with cutting-edge, constantly-evolving technologies, and be supported step by step as you hone your skills, gain valuable international experience and take on responsibilities from the very beginning. Our ultimate goal is to oer exible responses to change. So join an experienced and passionate team that works innovatively on a smart production environment.

THE CHALLENGE We are building a data science environment supporting data scientists all the way from exploring data and experimentation with different models to deploying them in decision tools or automations. At the core of our data science environment are small, reusable “data science bundles”, built using the tools of your choice. We’re mainly using Go with the occasional bit of Python thrown in. We are planning to open-source our data science environment during the course of this year with the goal of making it an Apache project eventually.

About HERE HERE is a leader in navigation, mapping and location experiences and our technology is used in many places. If you’ve ever checked in on Facebook, you’ve used HERE. Or, if you have in-car navigation, you’ve probably had our help getting where you’re going -over two thirds of the worlds cars, from Ford to Ferrari, use our software. And every time you receive a package from Amazon or FedEx, we’ve helped guide it to your door.

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.

Sie konzipieren und bauen innovative Software-Lösungen mit leading-edge Technologien rund um Machine Learning & Advanced Analytics und helfen damit Firmen wie PostFinance, Helsana, Swiss Re oder SBB sich über Daten auf dem Markt zu differenzieren. Das tun Sie bei uns Richtig gute Softwarelösungen (MS Azure, IBM Watson) rund um Data Analytics, Stream Analytics sowie Machine Learning bauen und diese erfolgreich einführenUnsere Kunden beraten und gemeinsam eine Big Data und Analytics Strategie definierenGeschäftsrelevante Erkenntnisse durch quantitative Daten Analysen, Visualisierungen und intelligenten Algorithmen gewinnenMit Design Thinking oder Lean Startup unsere Kunden durch den Innovationsprozess begleitenDas bringen Sie mit

An integral part of our company is the IT and Administration department. The Development team consists of thirty employees mostly based in Berlin. Your tasks Developing and maintaining a strong and fast data integration pipeline from on premise MS SQL Server into the Azure Cloud; changing the data driven push principle into an event driven approach; handling Microsoft Cloud technologies; support for the application teams; connector between the internally developed applications

Do you love big data and analytics? Do you have a strong passion for empirical research and for answering hard questions with data? If yes, you will love working at MiNODES. At the core of our data analytics pipeline we apply advanced machine learning techniques to position people inside our customers’ stores based on wifi signals. We are constantly improving these algorithms and are experimenting with new state-of-the art technologies (e.

Home24 is Europe’s largest online destination for home furniture and decor. Being a dynamic, fast-growing market leader, our goal is to consistently provide our customers with the best service and assortment.  Home24 is currently active in 8 countries in Europe and Latin America. We employ more than 1,000 people worldwide and are looking to expand our team with dedicated top talents and experts who are ready to grow with us. Our dynamic and international team works with great passion and enthusiasm towards a great goal: To revolutionize the Home & Living market.

Requisition ID: 150616 Work Area: Software-Design and Development Location: Berlin Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time  COMPANY DESCRIPTION SAPs vision is to help the world run better and improve peoples lives. As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively.

As a Junior Data Analyst (m/f) you combine your passion for data with the business driven application of your analytical skills. You will become a valuable member of our new data science team with a focus on online marketing optimization, technical KPI´s and the behavioral data of our players. Do you have first professional experience in the area of data analysis and are you familiar with programming / query languages such as SQL, Python or R?

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.

As Senior Developer at CARFAX Europe, you will be part of an agile, cross-functional team, working closely together with software developers, data engineers, data scientists and the teams’ Product Owner. All our teams are responsible for the full lifecycle and operation of their products. You will write software, develop products and services and help to plan, coordinate and implement an architectural vision within an agile team. Being a senior and having gained valuable experience in the past, you enable the team to establish best practices (code reviews, unit-testing, TDD, refactoring, etc.