Unser Kunde Syncwork AG ist ein mittelständisches Unternehmen und ein Experte für innovative Business Intelligence- und Data Warehouse-Lösungen. Im Zuge weiteren Wachstums suchen wir für den Standort Zürich oder Berlin einen (Junior) Business Intelligence- und Data Warehouse-Experten (m/w) zur Festanstellung in Zürich oder Berlin Referenznummer: 365996⁄8 Ihre Aufgaben: Sie beraten die Kunden rund um Data Warehouse/Business Intelligence (DWH/BI)-FragestellungenAufbau technischer und betriebswirtschaftlicher Analysen/Dashboards/ReportingsGestaltung effizienter DWH-Prozesse und funktionierender Prozessketten zur Datenbereitstellung von den Quellsystemen in das DWHAbstimmung über Anforderungen an das Data Warehouse mit anderen Fachbereichen und Stakeholdern inkl.

The EPFL Extension School is looking for an experienced data science instructor to join our team. The course instructor will be responsible for assisting our learners as they progress through our courses and programs (for curriculum details please see our web site). This will mean supporting learners through 1-1 chat, group chat, support forum, for their course and capstone project work and presentations. The role will also involve creating and grading exercises and projects for learners.

Sie haben Talent. Wir sind ein internationales Netzwerk aus 223.000 Mitarbeiterinnen und Mitarbeitern, die ihr Wissen, ihre Erfahrungen und ihre Ideen miteinander teilen. Sie suchen einen herausfordernden, spannenden Job. Wir bieten Ihnen als weltweit führende Wirtschaftsprüfungs- und Beratungsgesellschaft ein Maximum an Möglichkeiten für einen Karriereweg nach Ihren Vorstellungen. Sie möchten Verantwortung für Ihre Ergebnisse übernehmen, Lösungen gemeinsam mit dem Kunden entwickeln und einen Arbeitgeber mit passenden Werten. Unser Denken und Handeln orientiert sich an Grundsätzen, die von Vertrauen, Respekt, Weitsicht und Wertschätzung geprägt sind.

Do you want to have a major impact on the performance of advertisers (online travel agencies, hotel chains and hoteliers) on a leading global hotel search? Our Data Science team seeks an analytical mastermind to dig into the data of over 1.8 million hotels and develop an automated bidding algorithm that will allow our advertisers to hit their targets on our website. What you’ll do: You will push to improve your algorithm’s accuracy and employ the best possible analytics models, always keeping business priorities in mind.

The Real Estate industry is at the dawn of its own digital revolution and it is our mission to drive, define and shape this development “for a better life in buildings”. Along the way our solution generates a constant stream of invaluable data, just waiting to be utilized. If your passion is to harness the power of large quantities of data, we should talk, because we are looking for an experienced

You Are Ready To Make An Impact As Zalando transforms from a pure online retailer to a fashion platform, we bring fashion competency and branding expertise to the game by connecting all the players in the industry: consumers, stylists, designers, brands, influencers, and, online and offline stores. By providing a bold mix of global brands, local designers and specialist labels, we create fresh concepts, high-impact campaigns, smart applications and innovative partnerships.

XING is the social network for business professionals with millions of members all over the world. Help us shape the future – for a better working life! We currently have an opening at our offices in Hamburg and Barcelona.   Our Data Science team is responsible for turning data into services and products for XING. Around 20 Data scientists, architects and engineers work together to create highly scalable solutions that serve millions of users.

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 manufacturers - we’re building the platform that connects all people and parts of the fashion ecosystem. Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand.

Business Intelligence Manager/ Data Scientist (m/f) Urban Sports Club is an online-based sports club that provides an all-inclusive membership for sports venues across the city. With a single monthly subscription customers can do sports at more than 1500 studios offering more than 40 different types of sports and thousands of activities every week. So why not fitness on Monday, yoga on Tuesday, climbing on Wednesday, tennis on Thursday, martial arts on Friday, team sports on Saturday and on Sunday have a message and relax at one of the many saunas?

Join the financial revolution! Are you passionate about finance and want to make a real change? Join Kreditech and our team of over 300 professionals and become part of a transforming industry. From engineering, to design, to analytics, and collections, we do things differently and we reward great ideas, team work and persistence. We have a lot of work to do – and we want you to join us! Your Role

Data stream processing is redefining what’s possible in the world of data-driven applications and services. Apache Flink is one of the systems at the forefront of this development, pushing the boundaries of what can be achieved with data stream processing. Apache Flink currently powers some of the largest data stream processing pipelines in the world, with users such as Alibaba, Uber, ING, Netflix, and more running Flink in production. Flink is also one of the most active and fastest-growing open source projects in the Apache Software Foundation.

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.

Major duties and responsibilities: Contribute to the development of Machine/Deep Learning applications using state art machine learning frameworks to advance and verify INAIT’s workflowTechnical survey of Machine/Deep learning algorithms and technologyEssential skills and experience required: Professional experience in developing Machine/Deep Learning applications, including CNN/RNN networksProfessional experience in the use of Deep Learning frameworks such as TensorFlow, Caffe, pyTorch, … to build machine learning applicationsExperience with text, image and sound data setsProfessional experience in developing Python codeProfessional experience in different phases of the software development life-cycle, including unit testing, continuous integration, version control, debugging and documentationProfessional experience using UNIX/Linux operating systemsGood team playerFluent spoken and written EnglishPreferred:

Sellics is a profitable, global and fast-growing SAAS start-up from Berlin. We are revolutionizing commerce on the world’s biggest marketplace, Amazon. Our software is used by small sellers and large brands to manage and optimize their sales activities on Amazon. We are the first company to offer an Amazon SEO solution and we continue to shape this fast growing industry with cutting edge software innovations. Tasks and Requirements You bring in your ideas and expertise to globally scale our data-centersYou work on extending and boosting our databasesYou Re-Design and transform our databases for maximum performanceYou manage billions of entries with a high turnoverYou have 1.

Your Mission We are looking for a talented engineer to helps us improve our recommendation platform. You will be part of an international team that operates a recommendation engine which processes more than a billion of requests per month with a single-digit average latency and develops distributed systems that learn and recommend based on billions of events per day in real-time. You will work closely with our data engineers and ML scientists to implement, evaluate and improve algorithms.

Test Engineer – Big Data (m/f) Dresden | full-time About us The LOVOO GmbH was founded in 2011 and is now part of the listed Meet Group Inc., that owns a growing app portfolio of apps for meeting other people. All the Meet Group’s Dating Apps reach about 15 million people every month, whereas the brand LOVOO follows the mission to break with the unison narrative of the dating industry in communication and product philosophy and to provide a simple and relaxed approach to getting to know people.

You Are Ready To Make An Impact At Zalando Payments, we are processing all financial transactions of Zalando’s fashion store and other consumer facing apps. Starting with a flawless user experience in the checkout over the processing of the payments to reconciliation in the backend, we cover the entire financial process to boost conversion and deliver a competitive advantage to our customers through smart risk steering. As a Senior Data Engineer at Zalando Payments, you’ll help us to shape the data infrastructure that supports our risk assessment models, responsible for processing Billions of euros every year.

XING works towards “a better working life”. One key element of this mission is XING’s job marketplace (xing.com/jobs) that helps our users in exploring their next career steps. We are a team of Business Analysts, Designers, Software Engineers and Data Scientists - try to turn this marketplace into a data-driven product that supports our more than 12 Million DACH users in finding relevant jobs (e.g. via search or recommendations). Therefore, we work with the latest technologies in a highly international environment and bring state-of-the-art research into production.

As part of the strategy for future growth, Deposit Solutions is building out an enterprise Data Warehouse and Analytics System. You will be driving a largely greenfield project with the goal to build a state of the art data warehouse that enables us to capture the value out of the massive amounts of data our Open Banking platform produces. You main responsibilities will be: Architecting, Planning and Implementation of end-to-end Data Warehouse and Business Intelligence system utilizing best practices from Data Architecture, Data Integration and Data Management areas.

Über unseren Bereich Data Management & Analytics Im Geschäftsbereich Data Management & Analytics  helfen wir unseren Kunden, aus Daten wirtschaftlichen Nutzen zu generieren. Wir integrieren heterogene Datenquellen in klassische Data- Warehouse- Strukturen und multidimensionalen Analysemodellen, entwerfen und implementieren Big- Data- Plattformen und Realtime-Szenarien und verwenden innovative Suchtechnologien. Mit wissenschaftlichen Methoden finden wir Zusammenhänge in großen Datenmengen und gewinnen neue Erkenntnisse. Was Sie bei uns erwartet Ein familiäres, kollegiales und respektvolles Arbeitsklima mit offener Gesprächskultur und flachen HierarchienSpannende Projekte bei tollen KundenArbeiten mit den neuesten TechnologienAgilität in allen Projekten und internen AbteilungenHohe Freiheitsgrade und EigenverantwortungFlexible Arbeitszeiteinteilung, auch Teilzeitmodelle sind möglichDie Möglichkeit, im Home Office zu arbeitenFreie Wahl des Notebook-Betriebssystems (Linux, Mac, Windows) und des Smartphones (iOS, Android)Private Nutzung von Notebook und SmartphoneEin definiertes jährliches WeiterbildungsbudgetOptionales Fahrzeug- oder JobRad-LeasingJede Menge Perspektiven für die Zukunft