At trivago we aim to enable our large user base to find the ideal accommodation for their travels and help advertisers (online travel agencies, hotel chains and hoteliers) to improve their performance on our website. We’re looking for an analytical and enthusiastic data scientist to dig into petabytes of data to further develop the Marketplace of our global hotel search platform! As a data scientist in the Ranking Team you can have a direct impact on the mechanisms that govern the interaction of our 6 million daily users and our 400+ booking sites in real time.
At trivago we aim to enable our large user base to find the ideal accommodation for their travels and help advertisers (online travel agencies, hotel chains and hoteliers) to improve their performance on our website. We’re looking for a Data Science Team Lead to coordinate high impact topics that shape the interaction of users and advertisers on our platform, including the further refinement of our hotel ranking algorithm, the data-driven methodology to quantify the user experience of advertiser landing pages, and the development of approaches to discover and expose the best deals to our users.
As a Data Engineer at FINEWAY, you’ll be responsible for building & maintaining fast, accurate, robust & scalable data-processing services to shape the future of travel. This includes: Designing, implementing & maintaining batch, near time & real-time data-processing pipelines & analytical workflows.Optimising processes at code, memory & architecture level.Building fault tolerant, adaptive & highly accurate data pipelines.Reviewing your peers’ designs & code to ensure quality.Developing in an event-based micro-services architecture.Job Requirements
We are looking for a Senior Backend Developer (f/m/d) who wants to join our existing development team in Frankfurt, Germany. Beyond the required skills and abilities, we are looking for an individual with a senior attitude and a passion for building awesome stuff, capable to take responsibility of the made decisions and the written code. What you’ll be doing Developing and owning the most critical parts of our systemWriting and optimizing code aiming for performance and scalabilityMaintaining applications written primarily in Ruby and GoCommunicating with other teams to find the best solutionDirectly participating in the decision-making process What you need
To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/d) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board
Are you ready to be a unicorn and being part of the team that builds RBI’s next generation data lake for a living analytic Eco-system? Join us being part of something big and innovative.As Data Engineer you will act hand in hand with data scientists, big data architects and data consumers across CEE to plan and execute data integration. You will be in charge for data definition and the mapping from raw data to final data products running on the Data Lake Eco-system.
DEIN JOB Transformation der Stakeholder-Anforderungen in konkrete Spezifikationen für das Data Warehouse- und BI-SystemEntwicklung und Pflege der Datenerfassung mit Digital Analytics-Lösungen (Google Analytics, Google Tag Manager)Konzeption und Entwicklung von Standards für Analysen, Reports und DashboardsBearbeitung von abteilungsübergreifenden Analyseanfragen und -anforderungenUnterstützung und Schulung der operativen Bereiche im Umgang mit den BI- und Digital Analytics-Anwendungen (u.a. MDX Web Frontend, Saiku, Google Analytics, Google Tag Manager)Vollständige Aufbau eines Tableau basierten BI-Systems DEIN PROFIL
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 latest advances in Machine Learning, NLP and distributed systems design, our platform ensures that our content always stays relevant to the reader.
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.
ABOUT THE TEAM Department: Lounge Product Analytics Reports to: Product Analytics Lead Team Size: <5 Recruiter Name, E-mail: Simona, email@example.com You will be a Senior Digital Data Analyst in one of Zalando Lounge’s newest teams, working closely with our Product Managers. You will have end-to-end ownership of data: define tracking requirements, provide actionable insights, carry out A/B tests and dive deep into the results. You will guide more junior team members, and help to establish the processes which drive the life of the team.
Wir sind ein Software-Start-Up aus Hamburg und entwickeln innovative Lösungen für die Rückgewinnung von Kaufabbrechern für kleine und mittlere Online-Shops. Da wir stetig wachsen und unser Team vergrößern, suchen wir dich zum nächstmöglichen Zeitpunkt als Werkstudent im Bereich Data-Science (m/w/d) am Standort Hamburg für ca. 20 Stunden in der Woche. DIESE HERAUSFORDERUNGEN WARTEN AUF DICH: - Du erstellst Analysen und Reports um unseren Algorithmus zu verbessern und die Performance zu überwachen
About us StackFuel is Germany’s first provider of practical online training courses in the field of data analytics and data science. Within the context of the widespread digital transformations that are taking place, Stackfuel prepares large corporations, medium-sized companies and start-ups to make sure that they are able to work effectively in a data-driven working environment. For this, the StackFuel team relies on the cloud-based training environment Data Lab, the award-winning training environment that has been developed in-house by Stackfuel.
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.
We, at Scout24, are building a completely new team dedicated to market analytics and Data product development. Therefore, we search a Data Scientist to drive forecasts and user classification. You will have the opportunity to work with a group of highly motivated team members in a cross-functional setting together with Data Analysts and Engineers. This is a key role, to successfully develop new products and solutions for our Scout24 customer base and to generate immediate revenue impact.
Cortical.io is a young entrepreneurial company focusing on natural language understanding (NLU). We use our patented technology in combination with sophisticated AI approaches to address problems others have failed to solve. Over the last couple of years, we have built an impressive client portfolio of global Fortune 100 companies. At this point, we are looking to expand our team at our headquarters in Vienna. The ideal candidates for this position have some experience in Java product development, machine learning, and/or natural language processing (NLP).
We’re looking for a motivated and driven Team Lead Quality Reporting / Data Analysis (m/f/d) who will help us shape our team, drive the company to the next level, and have the most direct influence on our success. Your Tasks – Paint the world green The quality reporting team (4 employees) supports the operations and quality management departments. The team creates and improves reports for those departments, to enable data-driven decisions. Furthermore, the team performs advanced data analysis, like time series forecasting.
The SIGNAL IDUNA Group has been one of the top service insurers in Germany for many years. After the implementation of the new IT strategy in the last 2 years, Signal Iduna’s IT is in an exciting phase. The foundations and structures for the next level of digitization have been laid and are now being consistently implemented in the development of modern services with state-of-the-art technologies. A ‘Data Analytics Expert Team’ is being set up within the IT department ‘Business Intelligence’ to deal with the strategic topic of data management/big data and analysis.
Big Data Engineer(m/w/d) Festanstellung, Vollzeit · Frankfurt, München oder Passau ONE LOGIC ist ein 2013 gegründetes und aus eigener Kraft gewachsenes Data Science-Unternehmen mit einer starken und teamorientierten Unternehmenskultur. An unseren Standorten in München und Passau zählen wir inzwischen über 130 Mitarbeiterinnen und Mitarbeiter. Unsere Kunden reichen von mittelständischen Spezialisten bis hin zu mehreren DAX-Unternehmen. DEINE AUFGABEN: Cross-funktionale Schnittstelle zwischen unseren Softwareentwicklern, unseren Data Scientists und unseren KundenKonzeption und Produktivsetzung von skalierbaren Big Data-Architekturen auf dem Hadoop Technology StackAnbindung und Übersetzung komplexer ETL-/ELT-Prozesse im Big Data Umfeld, Integration von NoSQL DatenbanksystemenEntwicklung, Profiling und Tuning von Data Pipelines (Stream- und Batch-Processing)Technische Beratung und Unterstützung unserer Data ScientistsAktive Anwendung und Umsetzung von agilen Methoden und VorgehensweisenAufbereitung von Daten für kundenbezogene Analytics und ReportingsDEIN PROFIL:
YOUR CORE TOPIC As a Data Scientist at Ambidexter you combine the best of two worlds in a state-of-the-art environment. You conceptualize the right models to identify the critical knowledge in the data and implement them to capitalize on your data-driven skills.YOUR PLAYGROUND Execution of explorative data analyses to identify relevant patterns in user behavior, transactions or processes and thus visualize interrelationships and add valueTogether with the teams you develop scalable, powerful algorithms to enable better, smarter user experiencesYou are able to combine your machine learning conceptional skills together with top production quality programming skills to design and implement the relevant models and methodsA microservice architecture as well as a state-of-the-art technology stack provides the flexibility and performance needed for a wide variety of potential methods and models defined by youPrepare management-compatible briefings to present the acquired knowledge to senior managementWHAT WE’RE LOOKING FOR