Are you a detail-oriented and data-driven talent, looking for an impactful role at a Europe-based tech company operating on a global scale? Then look no further!We’re looking for a data engineer to take ownership of critical data pipelines and complex data crunching for our product analysis team. Working with huge data-sets, you’ll be responsible for developing our a/b testing pipelines and data products that impact the decisions of Product Managers and Business Owners across the company.

Your tasks – this is what awaits you in detail As a Data Engineer (f/m/d) at real.digital, you act as an important interface between our DevOps, Data Science and software development divisionsYou develop scalable applications and systems for processing structured and unstructured dataYou deal comprehensively with many different data-related topics and have the right ideas for every situation: Whether it’s data exchange between microservices, processing huge amounts of data for recommender models, or lightning-fast, interactive business intelligence applications, we have the right solutionYour profile – this is what we expect from you

Data driven decisions. Data informed management. “Data” and all related efforts around it has moved from being “another buzzword” into becoming an essential part of the most successful corporations.  Signavio’s  data insights team aims to provide reliable quality data, tools and services to stakeholders both from inside the engineering department as well as from the outside (e.g. C Suite), enabling them to better understand our users, products & processes. This is a cornerstone to track the progress on our goals, to shed light on business relevant information, to discover areas that need improvement, and to enable data driven decision making throughout the whole organisation.

Do you enjoy technical challenges and are eager to delve into the waters of security? Our IT Security team is looking for an experienced software engineer whose expertise, passion and drive can help ensure that the data of our 120 million monthly users, OTA’s & employees are protected and all systems are SOX and GDPR compliant.  You will have a big impact in this role, working with multiple teams to support our product moving forward.

Your Tasks You will analyze and visualize real-world sales and advertising data, utilizing state of the art technologies like AWS Sage Maker, AWS Glue, Redshift, Cluvio, etc. You will help to develop and deploy data science pipelines on AWS You will help to optimize Database Tables and Queries You will design, implement and evaluate models and software prototypes You will work on your own project challenges Your Profile You already worked as a Data Scientist or equivalent positions for at least 3 years (less for a Junior position)

Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr). Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Deep Learning Consultant, Machine Learning Consultant, Technical Product Manager oder Product Owner ist, solltest du weiterlesen.

Would you like to improve the business of thousands of online shops worldwide with data-informed decision making? Do you tick when you optimize an algorithm and you see KPIs go up? We’re looking for a Lead Data Science & Product Owner to become part of our outstanding team in Munich. If you’d like to lead a data science team, work closely with an engineering team as their Product Owner and get your hands on large datasets to be decisive to our company’s and clients’ successes - then Stylight is the place to be for you!

Die Position ist an den Standorten Berlin, Leipzig, Köln, Frankfurt a.M., Stuttgart oder München zu besetzten! Deine Aufgaben Als Expert Data Engineer bei [at] bist du der Ansprechpartner, wenn andere nicht mehr weiter wissen. Desweiteren strukturieren sich deine Aufgaben wie folgt: Entwerfe, entwickle, teste, debugge, automatisiere, dokumentiere und pflege DatenpipelinesWähle die Technologien für die Implementierung von Data Analytics Use CasesEntwickle Datenpipelines auf Basis von Cluster-ArchitekturenVisualisiere Daten für verschiedene ZweckeBewerte die Datenqualität und führe wenn nötig eine Datenbereinigung durchDein Profil

Otto.de, eine der größten E-Commerce-Plattformen Europas, hat einen vertikalen Systemschnitt mit fachlicher Abgrenzung (z.B. Search, User*in, Order oder Recommendations). Unsere crossfunktionalen Teams sind verantwortlich für die vertikalen Teilprodukte - fachlich, technisch und auch für den Betrieb der Microservices in der AWS. Technische Entscheidungen werden von uns und nicht durch Manager*innen getroffen. Ebenso gestalten wir die Art unserer agilen Zusammenarbeit selbst und finden gemeinsam neue Wege. Wir sind das Team Search und stellen sicher, dass unsere 8 Millionen Kund*innen die besten Suchergebnisse bekommen.

About our company: freiheit.com’s software engineers have been building large-scale software systems since 1999. We are internet pioneers and we have delivered hundreds of projects for our customers that are used by millions of users with thousands of requests per second since then. In the last two decades we have been constantly reinventing and improving ourselves. Self-Improvement and learning are deeply ingrained into our company’s DNA and in the personality of all of our team members.

ABOUT OUR COMPANY freiheit.com’s software engineers have been building large-scale software systems since 1999. We are internet pioneers and we have delivered hundreds of projects for our customers that are used by millions of users with thousands of requests per second since then. In the last two decades we have been constantly reinventing and improving ourselves. Self-Improvement and learning are deeply ingrained into our company’s DNA and in the personality of all of our team members.

We are looking for a passionate Data Engineer to join our Analytics team and own our analytics data architecture. You will collaborate with the rest of the Analytics team and company stakeholders (such as product, UX, sales, marketing, medical, etc) to identify data needs and solve them to support insights that inform key business decisions. As part of the Analytics team, you will: Maintain and evolve our analytics data architectureHandle our data pipeline from Ingestion to StorageAlign with our Data Analysts and other stakeholders throughout the organization on data needs and implement themWork with our analysts and Product teams to strive for impact for our usersOwn our event tracking platform (Snowplow in Spark-EMR setup)Be the guardian of data qualityWork with engineering teams to define and implement new tracking events across all platformsEnsure interpretability of core data elementsOwn data modelling and data lineage across all data stores and toolsEnsure data from different sources are connected in the right way to ensure tracking across media breaks correctly and allow for attributionWe are looking for somebody who has:

Wissen für die Welt von morgen. Noch nie war die Welt so vernetzt wie heute. Milliarden von intelligenten Geräten und Maschinen erzeugen riesige Datenmengen, die die reale und virtuelle Welt miteinander verschmelzen lassen. Die Umwandlung dieser riesigen Datenmengen in wertvolle Daten ist ein entscheidender Erfolgsfaktor. Siemens hat eine große Vision für das immer wichtiger werdende Digitalisierungsgeschäft. Unsere Abteilung arbeitet täglich an einzelnen Use Cases aus den unterschiedlichsten Funktionsbereichen innerhalb der Business Unit Motion Control, um die große Vision mit nachhaltigen Beispielen zu füllen.

The Role As Image Data Scientist you will develop innovative and accurate algorithms and tools for multiple therapeutic areas across several imaging modalities (H&E, IHC, mIF, IMC, PET/CT), being fully connected with AstraZeneca’s translational medicine, software development and data sciences teams. The role also includes exchange with the scientific Artificial Intelligence community by publications and conference presentations. Main Duties and Responsibilities: Support business insight through the manipulation and analysis of data from histopathology, radiology, transcriptomics and genomics, using heuristic and machine learning and/or deep learning methodologies.

Our story (the bitesize version): As Just Eat Takeaway.com, we’re one of the world’s biggest food delivery companies. Delivering dishes across 25 countries worldwide from Berlin to Brisbane we serve millions of food-lovers every day.Many of those orders happen with Scoober’, our delivery logistics operation. From project managers to city coordinators and couriers, Scoober supports restaurants by taking care of their deliveries.Do you want to be a part of the future of food delivery?

Our story (the bitesize version): As Just Eat Takeaway.com, we’re one of the world’s biggest food delivery companies. Delivering dishes across 25 countries worldwide – from Berlin to Brisbane – we serve millions of food-lovers every day.Many of those orders happen with ‘Scoober’, our delivery logistics operation. From project managers to city coordinators and couriers, Scoober supports restaurants by taking care of their deliveries.Do you want to be a part of the future of food delivery?

Planen Sie mit uns Ihre berufliche Zukunft und verstärken Sie unser Data Analytics-Team im Fachbereich der Personen-Rück­versi­cherung am Standort Hannover ab sofort unbefristet in Vollzeit als Marketing Actuary / Data Scientist (m/w/d) für Aufbau und Vermarktung einer Datenanalyse-Lösung Aus einem internen Innovationsprogramm entstanden, bietet diese neue Form der Daten­analyse den Versiche­rungs­kunden der Hannover Rück-Gruppe einen um­fassenden Service, durch den sie ein besseres Ver­ständnis ihres Portfolios erhalten. Ihr Schwerpunkt ist die Vermark­tung und Weiterentwicklung unseres Service für die Personen-Rückversicherung.

To expand our team, we are looking for a data scientist to join the R&D division that develops sensor fusion solution for the autonomous driving application.    Your responsibilities:  Join the research and development team, and contribute to the development and optimization of the current software Design and develop complex algorithms and functions for sensor fusion applications  Develop new applications based on concrete automotive customer specifications and integrate these into Teraki’s main product line Preform benchmark tests and evaluate the performance and capabilities of the developed algorithms and codes Help to deploy the code into the core product by working in close collaboration with our software developers and data scientists What we are looking for: 

Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. The business unit harnesses the power of cutting edge machine learning practices to connect the leading performance-oriented advertisers with the biggest network of publishers, reaching millions of travellers. The strategy is to optimize advertising across the entire traveller journey, identify and create new audiences, and increase our partners’ reach, relevance and booking volumes. travel audience is looking for a (Senior) Data Analyst to join our Data Tribe.

Wir suchen dich zum nächstmöglichen Zeitpunkt // unbefristet // in Vollzeit // am Standort Köln als:  SENIOR DATA ENGINEER (M/W/D) Wir gestalten die mediale Zukunft! In unserem zentralen Bereich für Daten der Mediengruppe RTL, Data & Audience Intelligence, bündeln wir die Expertise rund um das Thema Daten und Daten-Technologien und treiben unternehmensintern sowie marktübergreifend den digitalen Wandel in der Medienbranche. Wir entwickeln datengetriebene Lösungen mithilfe von Analytics, Machine Learning und Artificial Intelligence und bauen so unseren Wettbewerbsvorteil im deutschen Markt immer weiter aus.