Werden Sie Teil unseres Teams am Standort Frankfurt am Main und unterstützen Sie uns als Data Analyst / Scientist (m/w/d) Compliance – Informationssicherheit Unser Team sucht eine Persönlichkeit, die fundiertes fachliches Know-how mit ausgeprägten analytischen und kommunikativen Fähigkeiten verbindet. Und damit Sie: Ihr Einsatz gilt der Sicherheit des Konzerns und insbesondere allen Risiken rund um das Thema Informationssicherheit. Sie verwandeln Daten in Wissen und setzen sich so für ein nachhaltiges Compliance Management ein.

Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team in the marketing domainYou will work with your team to decide on and improve the data architecture (from data extraction, preprocessing, and isolation) to support the Marketing Intelligence projectsYou will ensure that more than 100 employees in the Marketing Department can monitor their campaign performance on a daily level by providing the right data in the right wayYou will support the team to productionize data-intensive products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work with business and technology stakeholders to evaluate data sources, techniques, and tools teams on solutions for data-driven decision makingYour Profile – Ready to hop on board

Job-ID: TT-T-SWH-26227 (Berlin, Gifhorn) Ihre Aufgaben Zur Absicherung der Entwicklung autonomer Fahrzeuge und neuer Mobilitätsdienste entwickelt und betreibt die Abteilung Vehicle IT die IAV-Big-Data-Plattform. Technologien und Methoden wie Hadoop, Spark, Kafka, Machine Learning und eine verteilte, globale Datenhaltung sind die Enabler, um gemeinsam mit unseren Kunden die Mobilität von morgen zu gestalten. Wir suchen zu diesem Zweck Verstärkung im Bereich IT-Architektur, um gemeinsam die Brücke zwischen IT und Automotive zu schlagen.

If you are an architect that enjoys designing distributed applications for large-scale clusters and strives to create high quality code - we have just the right challenges for you! Self-motivation and results orientated internal drive as well as problem solving mentality would fit in perfectly within our team.  At Ultra Tendency you would: Solve Big Data problems for our customers throughout the project life cycleLead a development team and ensure high quality standards and best practicesWork with our customers to identify requirements and design applications according to their needsDocument architectural decisions and implement them together with the rest of the development teamIdeally you have:

Möchtest du verantwortungsvolle Aufgaben übernehmen? Aufbereitung, Management und Analyse von Daten in einer Big Data UmgebungWeiterentwicklung des Daten-Analyse-FrameworksDaten-Analyse inkl. Qualitätssicherung mit Standard- und KI-AlgorithmenAbleitung von Anforderungen zur weiteren Verbesserung der AnalyseergebnisseEntwicklung von Prognose- und Pattern-Recognition-Modellen mit klassischen undMachine-Learning-MethodenIntensive Zusammenarbeit mit SoftwareimplementierungDein Profil Erfolgreich abgeschlossenes Studium der Informatik, Mathematik, Physik oder vergleichbarer FachrichtungSehr gute Kenntnisse von PythonErfahrung in der Analyse komplexer DatenSehr gute Kenntnisse der Library pandas, sowie der Machine Learning Frameworks TensorFlow, Scikit-Learn und SciPySehr gute SQL-Kenntnisse, Django ORM-Kenntnisse wünschenswertSehr gute Kommunikationsfähigkeiten – du wirst im intensiven Austausch mit den Domänen-Fachexperten stehen und Verbesserungen umsetzenAusgeprägte analytische FähigkeitenGute Deutsch- und Englisch-Kenntnisse Link: https://www.

We (de)code insurance. Sei dabei in Hamburg und Köln! Sie sind ein Allrounder, kennen sich mit Anforderungen von Datenprozessen aus und können Datenmengen skalieren? Wir denken Versicherung neu, helfen Sie uns dabei! Ihre neuen Aufgaben: Analysieren, ent­wickeln und warten komplexer Daten­ströme und DateninfrastrukturDatenmodellierung für Auswertungen und Gestaltung über­greifender Daten­architekturErstellung von Datenmodellen zur standardisierten Analyse von DatenPerformance Optimierung durch Anpassung von Abfragen oder DatenbankstrukturenVertesten der Datenmodelle mit A/B-TestsWas Sie mitbringen: Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder eines vergleichbaren StudiengangesFundierte Kenntnisse in SQL und Python o.

Are you looking for an opportunity to build a cutting-edge data products? We are ramping up our data team to support and scale Zalon’s machine learning, analytics and business needs. To do so we are looking for an analytical problem solver that likes to work in an agile and cross-functional team with the challenge to shape, build and refine the future of the company’s data quality for our services together with the integration of machine learning algorithms.

Data Management Specialist (80 - 100%)Job InformationLGT Capital Partners is a leading alternative investment specialist with USD 60 billion in assets under management and more than 500 institutional clients in 37 countries. An international team of over 450 professionals is responsible for managing a wide range of investment programs focusing on private markets, liquid alternatives and multi-asset class solutions. Headquartered in Pfaeffikon (SZ), Switzerland, the firm has offices in New York, Dublin, London, Paris, Vaduz, Dubai, Beijing, Hong Kong, Tokyo and Sydney.

IHRE AUFGABEN Kompetente Beratungsleistung bei der Definition und Umsetzung von Daten – Architekturen, Organisationstrukturen und Prozessen.Fachliche, technische, organisatorische und methodische Beratung im Datenumfeld.Für unsere Kunden beraten und entwickeln Sie Datenmanagement-Lösungen, von Data Lakes über klassische Data Warehouses bis zum Einsatz von PaaS/SaaS Daten-Diensten gängiger Cloud-Provider.Sie wenden aktuelle Datenmanagement- und Integrations-Techniken wie Streaming und Lambda-Architekturen an.Sie übernehmen Projekt- und Teilprojektleitungen.IHR PROFIL Mehrjährige Erfahrung in der Beratung von Datenarchitekturen und- Prozessen (technisch wie auch organisatorisch)Nachgewiesene Erfahrung ein einer oder mehrerer der nachfolgenden Technologien:Microsoft Azure (z.

Database Engineer / DBA (w/m), 100% ARGUS DATA INSIGHTS® Schweiz AG ist der führende Anbieter von integrierten Business Intelligence Lösungen in der Schweiz mit Hauptsitz in Zürich. Basis des Erfolges ist die einzigartige Kombination aus einer umfassenden globalen Medienabdeckung, innovativer Technologie, persönlicher Beratung und mehr als 100 Jahren Erfahrung. Rund 190 Medien-, Kommunikations-, Analyse- und Daten-Experten finden, verdichten und analysieren relevante Medieninhalte zu hochwertigen Medienspiegeln, Analysen und Insights für fundierte Entscheidungen in Kommunikation, Marketing und Strategie.

As a Research Engineer you find new ways to solve technical challenges and pursuit research driven app development in an interdisciplinary and agile team. YOUR PLAYGROUND You will develop a state of the art machine learning platform, which will help Yunars users to optimise their app experience.You will work closely with product managers to identify optimisation potential, design hypotheses for improvement, and implement prototypesYou will work closely with engineers to turn your prototypes into production level code, including analysing your resultsWHAT WE’RE LOOKING FOR

Your tasks: Develop, improve, test and deploy new Firmware for our Numberplate Recognition Hardware for seemles parking  Assure high code quality  Team development: code reviews, peer programming  Lead a team of Juniors/Working Students Your profile: You graduated in Computer Science, Electrical Engineering or similar You have gained a lot some work experience and know how to develop hardware/IoT Products You have very good C++ skills, know something about Hardware and if needed write some Python scripts 

IMAGINE - What you will work on: Our Transportation Infrastructure Technologies Competence Unit (https://www.ait.ac.at/en/research-topics/road-condition-monitoring-assessments/ ) is at the forefront of technology development, for example on the subject of road condition assessment. Our fleet of measuring vehicles, like The RoadSTAR is a mobile laboratory that provides accurate and objective data on the condition of road surfaces (motorway surfaces).You will be part of an multidisciplinary expert team and you will be responsible for the development of the software for the measurement and monitoring systems and you will conduct in-depth data analyses.

Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on. Your tasks: Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team.

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. And it’s our data engineers that make this happen!

We are looking for an experienced Product Analyst to glean insights from customer-content interactions and define attribution models. As a part of the Content Composition team, you will make customer engagement measurable and optimizable. WHERE YOUR EXPERTISE IS NEEDED Define attribution models, dive deep into Zalando’s massive data to interpret customer engagement, understand the driver tree and identify proxy KPIsDraw insights from the complex interaction of content, customers, and Zalando’s business, analyze A/B tests, provide (analytical) justifications for why we do certain thingsWork closely with the data scientists and engineers on your team to help them optimize the algorithms they buildHelp stakeholders understand why their content is (or isn’t) successful in front of the customerWHAT WE’RE LOOKING FOR

As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a>About your new role Develop and operationalize machine learning modelsSupport our product development teams in solving specific product problems using machine learningImplement>Skills & RequirementsYou have demonstrated your passion for machine learning, analytics, and statistics in previous projectsYou can prove strong hands-on experience with programming in Python (experience with the PyData stack is a plus)You have worked with distributed computing frameworks and deep learning algorithms (feed-forward, CNNs, RNNs) and cloud servicesYou have a solid understanding of good practices in software engineering, like pair programming, testing, clean codeYou are fluent in EnglishAt idealo you can expect

Data Science Manager (m/f/x) Berlin At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week. We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.

Fresenius Kabi is a global healthcare company that specializes in lifesaving medicines and technologies for infusion, transfusion and clinical nutrition. Our products and services are used to help care for critically and chronically ill patients. Data Quality Manager (m/f/d)  Your assignments Work with peers and organizations to identify and secure existing process data objects and improve governanceCoordinate data cleansing process for material type conversion and cleansing relevant to EWM processesWork with peers and organizations to understand existing master data restrictions and bottlenecksAnalyze existing tools to identify opportunities for improvement through the use of process modeling and simulation, data analysis, and new process management toolsHelp identify tools/metrics, KPIs and developments to ensure that continuous improvement in data quality are achievedCoordinate activities associated with company validation policy and compliance with QM processes and SOPs ensuring alignment to the Nucleus business transformation projectEnhance and maintain responsibility matrix for all main objects and create and maintain responsibly matrix for secondary objectsDevelop governance for GRC roles managements processesShow central as well as local leadership by showing strong commitment to the implementation of sustainable process management and governance structuresYour profile

Willkommen beim DLR! Unser Institut für Instandhaltung und Modifikation in Hamburg sucht eine/n Informatiker/in oder Datenwissenschaftler/in für die Entwicklung von Architekturen, Software, Betriebs- und Datenmanagementkonzepten für digitale Zwillinge Ihre Mission: Ein wesentliches Element bei Optimierung von Wartungs- und Instandhaltungsprozessen für Luftfahrzeuge ist deren Abbildung durch einen Digitalen Zwilling. Dieser verknüpft alle zugehörigen Daten, stellt sie für Analysen bereit und bildet somit den individuellen Ist-Zustand eines Systems über dessen gesamten Lebenszyklus ab.