Wir sind das digitale Kompetenzzentrum von Goldbach. Unsere Dienstleistungen umfassen: Steuerung des Pre-Sales-Prozesses mit technischer Anbindung der Partner, After-Sales mit automatisierter Einbuchung und Ausspielung von Werbung sowie End-Reporting der Advertiser-Kampagnen. Wir evaluieren, testen und implementieren neue Technologien für die Gruppe zur kanalübergreifenden, datengestützten Zielgruppenansprache. Dazu beraten wir sowohl zu Data Management als auch zu Datenschutz und unterstützen unsere Gesellschaften bei der Einhaltung der Datenschutzverordnung. Data Analyst – Goldbach neXT (w/m/d) 80–100%
The Analytics Team As a special unit within RIAG Digital, we bundle the technological development of all analytics activities and support our stakeholders in designing their digital agenda. Within our dedicated data team, you work on a basis for our new data infrastructure and are responsible for the technical feasibility of projects. We also encourage your collaboration with other teammates through mentoring, interactive learning and technical exchange. THE TASK Planning, development and implementation of an optimal data architecture on the Google platform to provide a high-quality basis for use cases in the field of analytics and machine learningCooperation with analysts, product managers and backend developers to understand and implement data requirementsSupport in designing and creating new data extraction, transformation and loading processes from different data sourcesUse and ensure state-of-the-art methods (CI/CD) to provide a future-proof and scalable platformMINIMUM QUALIFICATIONS
Job description As a part of Amadeus, travel audience unit is the world’s leading data-driven travel advertising platform. travel audience harnesses the power of home-grown tech, combined with cutting-edge machine learning practices to connect the leading performance-oriented travel brands with the biggest network of publishers, reaching Billions of travelers globally. Our aim is to optimize advertising across the entire traveler journey, identify and create new audiences, and increase our partners’ reach, relevance, and booking volumes.
Most wanted: Data enthusiast with sharp analytical skills and a flair for automated data pipelines. Onedot was founded in 2014 to make unstructured and messy product data easily consumable by applying self-developed artificial intelligence. We are a rapidly growing Swiss SaaS startup offering commerce and industry the first intelligent platform to source, onboard and distribute product data. Public companies with global presence and rich history as well as some of the fastest growing e-commerce startups are part of our expanding international customer base.
Your tasks will be: We are looking for data scientist to join our R & D bioinformatics team in Berlin. You will be responsible for developing cutting-edge advanced data analytic algorithms and models from next generation sequencing data Data management tasks and bioinformatics algorithm developmentData mining, interpretation and analysisStatistical analysis and visualizationDevelopment and curation of bioinformatics tools and databasesClose collaboration with business owners; pro-actively driving further improvement to reach targetsYou have the following skills and qualifications:
Signavio’s Data Insights team provides reliable data, tools, and services to stakeholders from within the engineering department as well as from other departments, enabling them to better understand our users, products & processes and allowing us to better track the progress on our goals, to shed light on business relevant information, and to enable data driven decision making throughout the whole organisation. Description Establish analytical reports and work on ad-hoc analytical requests from different stakeholders such as product leadership to understand detailed product usageIdeate and explore ways to support or invalidate business hypotheses and to provide the relevant insights for tactical and strategic decisionsConsult and enable peers on the broad topic of data analysis and bridge the gap between business and technologyWork closely with data engineers and other analysts to identify valuable data sets, potential data wrangling needs and work on a shared data repository to turn information into insightsIdentify and apply the tools and methods which answer analytical business needs bestRequirements
As a data-driven company we are currently upscaling our BI and Data team. As Data Analyst you will join a team of Data Engineers, Data Product Managers and BI Specialists to create and maintain a culture of data-backed business decisions and support all of CoachHub’s departments.Tasks and responsibilities You analyze customer behavior and operational performance data in order to detect growth opportunities for the Business and improve user experienceYou perform A/B testing to evaluate business hypotheses.
Helmholtz-Zentrum Hereon The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,100 employees contribute to the tackling of climate change, the sustainable use of the world’s coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range. Institute of Materials Physics The Institute of Materials Physics operates instruments on large-scale equipment for structural investigations of materials and works on the development and characterization of novel lightweight materials for high-temperature applications, for example in aircraft turbines and automotive engines.
The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1.5 million active customers in 11 countries. In only 9 years on the market, we have grown to more than 500 million Euros Gross Merchandise Volume annually. More importantly, the opportunity ahead of us is massive.The Westwing team is the secret to our success.
(Senior) Data Engineer (m/f/d) Our Company Simplifying global trade is Forto’s mission from day one. Forto stands for scalable logistics technologies that allows users to own their entire supply chain. A one-stop-shop and single face to the customer that would cover the entire process chain from quotation, booking, document management, track and trace all the way to proactive exception handling and supply chain data analytics. A growing team of over 450 technology and logistics experts at the eight locations, together with financing totaling over USD 50 million, forms the basis for further growth.
WHAT YOU WILL DO Our mission at Mimi is to give everyone the best possible hearing experience and protect your hearing health. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies. Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience and prevent hearing damage. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.
WHAT YOU WILL DO Our mission at Mimi is to give everyone the best possible hearing experience. We are the world’s leading provider of hearing-based audio personalization and digital hearing test technologies. Our team has developed a biologically-inspired and proprietary audio processing technology that knows how well you hear in order to personalize your listening experience. Mimi’s technology can be integrated into consumer electronics devices, such as headphones, smartphones, TVs, in-flight entertainment systems and a range of systems and platforms.
Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery! We are looking for Senior Data Scientists(f/m/d) to join our “Quick Commerce” team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on Delivery Hero’s catalog management, campaign management, ad-serving/ad-booking systems. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure and data, an international workplace is waiting for you in the heart of Berlin!
At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It’s a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide.
Data Scientist (m/w/d) Customer Analytics in München Wertschätzung. Sicherheit. Wachstum. Dafur steht seit uber 200 Jahren die Versicherungskammer Bayern. Bei Zahlen können wir auf Sie zählen: Für unser Customer Analytics Team werten Sie Daten aus, führen Analysen durch und erstellen beeindruckend treffsichere Vorhersagemodelle. Sie verstecken sich nicht hinter Zahlenkolonnen, sondern präsentieren auch souverän Ihre Ergebnisse und erstellen lesenswerte Berichte. Klingt wie für Sie gemacht? Dann bewerben Sie sich jetzt. Wann es losgeht?
Main Duties and Responsibilities Help us create AI / ML ready datasets from Petabytes of raw data and meta-dataAutomate integration of different data-sources into a coherent flow/ data pipelines (support also data normalization and result calculation)Develop and build systems and architectures for ETLsPerform system & data testingUnderstand and apply FAIR data principlesStrong adherence to compliance & regulatory environmentsBuild algorithms toEssential Requirements Computer Science, Engineering, or Bioinformatics (Master level) plus 5 years relevant experienceExcellent programming skills (Python, C++, R)Experience in designing and implementing RESTful APIs and webservicesAn ability to interact with various data sources, both structured and unstructured (e.
The development of complex materials with tailored properties as well as the understanding of the underlying mechanisms require an integrative combination of data analytics and material characterization with theory, simulation, and research data management. In particular, for computer-aided analysis of (image) data from electron microscopy, artificial intelligence methods such as Deep Learning (DL) offer excellent potential. The multidisciplinary Institute for Advanced Simulations – Materials Data Science and Informatics (IAS-9) combines disciplines ranging from data analysis and materials simulation to research data management and software development under one roof.
Aufgaben Implementierung und Wartung von robusten Datenanalyseskripten in R oder PythonGestaltung der technischen Infrastruktur, Durchführung von Tests und Übernahme der ÜberwachungDefinition und Umsetzung von Entwicklungs-, Qualitätssicherungs- und UnterstützungsprozessenAufrechterhaltung der Code-Qualität durch Pair Programming, Code-Reviews und Code-AnalysenZusammenstellung und Beschreibung von Datensätzen, die wichtige Verbraucher- und Kundeninformationen in strukturierter und unstrukturierter Form beinhaltenOptimierung der Performance von Algorithmen und Optimierung der SkriptausführungBenefits Wir bieten dir ein attraktives Gehalt und ein wettbewerbsfähiges GesamtpaketRegelmäßige und systematische (externe und interne) WeiterbildungsmöglichkeitenModernes Arbeiten in einem innovativen und internationalen TeamQualifikationen
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?