254 Big Data jobs

Airbus ist ein weltweit führendes Unternehmen im Bereich Luft- und Raumfahrt sowie den dazugehörigen Dienstleistungen. Der Umsatz betrug € 70.5 Mrd. im Jahr 2019, die Anzahl der Mitarbeiter rund 134.000. Airbus bietet die umfangreichste Verkehrsflugzeugpalette. Das Unternehmen ist europäischer Marktführer bei Tank-, Kampf-, Transport- und Missionsflugzeugen und eines der größten Raumfahrtunternehmen der Welt. Die zivilen und militärischen Hubschrauber von Airbus zeichnen sich durch hohe Effizienz aus und sind weltweit gefragt. Mit Leidenschaft und Entschlossenheit arbeiten unsere Mitarbeiter jeden Tag daran, die Welt zu vernetzen, mit hoher Priorität auf Sicherheit und Fortschritt. Wir sind stolz auf unsere Arbeit und teilen unsere Fachkenntnisse und Erfahrungen, um gemeinsam Spitzenleistungen zu erfüllen. Unsere kulturelle Vielfalt und Zusammenarbeit ermöglicht es uns, Außergewöhnliches zu erreichen – auf dem Erdboden, im Luft- und im Weltraum. Airbus strebt eine Belegschaft...

What you can expect in this role You are part of a team that is taking the steps from data warehousing to data products using real-time data pipelines, third party APIs, and microservices to support machine learning algorithms as well as other departments on their journey to #LivingData You support your team in the day-to-day business and are responsible for handling tickets and other short term tasks As part of flaconi's central Data & Analytics department consisting of our Data Engineering, Analytics, and Data Science teams, you take on challenges across all areas of flaconi's business and also work cross-functionally within the department You foster and enhance our data warehouse architecture that is rapidly growing (currently built on Python, Docker, Pentaho Data Integration, Exasol, Airflow) In detail, you help to build data pipelines, design data models while ensuring our data quality standards are met You will join a team that emphasizes transparency,...

Die   Handelsblatt GmbH   ist mit ihren Marken Handelsblatt und WirtschaftsWoche führender Anbieter von Finanz- und Wirtschaftsinformationen in Deutschland. Für die Weiterentwicklung unserer Produkte und zur Umsetzung unserer „Subscribers-First“-Strategie setzen wir neben hervorragenden journalistischen Inhalten auf die Nutzung und Analyse von Daten. Zur Umsetzung unserer ambitionierten Subscription-Ziele nutzen wir umfangreiche Daten- und Analysemodelle, die auf unseren Webplattformen, Apps und CRM-Systemen aufsetzen. Künftig werden wir dieses Feld weiter ausbauen und suchen am Standort Düsseldorf für den Bereich Publishing & Products baldmöglichst eine: n Head of Data Analytics (gn) Deine Aufgaben: Führung und (Weiter-)Entwicklung des Teams Data Analytics bestehend aus Data Analyst: innen und Data Scientists. Definition, Operationalisierung und Weiterentwicklung der Data Analytics & Data Science Roadmap für die Handelsblatt Media Group. Strategische...

Die   Handelsblatt GmbH   ist Marktführer im Segment der Wirtschafts- und Finanzpresse. Objekte wie Handelsblatt und WirtschaftsWoche stehen beispielhaft für das hohe Niveau unserer Printtitel. Die Verlagsgruppe Handelsblatt gehört mit zahlreichen Online- und Offline-Produkten zu den Vorreitern auf dem Gebiet der elektronischen Medien. Von der aktuellen Nachricht bis zum fundierten Hintergrundwissen erhalten unsere Leser täglich Informationen mittels unterschiedlicher Medien - von der Zeitung, über Apss bis zum Internet. Für den Bereich Data Technology & Business Intelligence suchen wir am Standort Düsseldorf baldmöglichst einen Data Scientist (gn) Deine Aufgaben: Konzeption und Durchführung von Data-Science Projekten zur Unterstützung unserer Fachbereiche und unseres Managements bei der Entscheidungsfindung für aktuelle Themen und bei der Analyse und Aufdeckung von Verbesserungspotentialen zur Steuerung der Geschäftsprozesse Entwicklung und Operationalisierung...

APTIV   is one of the largest automotive suppliers and a global technology leader, with more than 180,000 people worldwide. We address mobility’s toughest challenges and deliver market-relevant solutions for our customers. One key technology for further pushing the boundaries of advanced driver assistance systems and autonomous driving is machine learning/artificial intelligence (AI). We are searching for talented students who bring in new ideas and help to develop our next generation of AI algorithms. We are developing algorithms which, based on camera, lidar and radar sensor data, can understand complex driving scenarios (e.g. crowded multi-lane highways, inner cities), anticipate the behavior of other road users (e.g. pedestrian crossing the road, vehicle changing the lane or taking a turn) and finally make safe and comfortable driving decisions. Are you (almost) finished with your Master's degree and want to pursue a PhD? Do you want to bridge the gap between academics and...

What you can expect in this role You are part of a team that is taking the steps from data warehousing to data products using real-time data pipelines, third party APIs and microservices to support machine learning algorithms as well as other departments on their journey to #LivingData As part of flaconi's central BI department consisting of our Data Engineering, Analytics and Data Science teams, you take on challenges across all areas of flaconi's business and also work cross-functionally with software engineers and DevOps You foster and enhance our data warehouse architecture that is rapidly growing (currently built on Python, Docker Pentaho Data Integration, Exasol, Data Vault) In detail, you build data pipelines, design data models and support us to find scalable technical solutions while ensuring our data quality standards are met You will join a team that emphasizes transparency, collaboration and skill development to master technical challenges Your...

Our Venture Team   RECOBO.AI   enables companies with cognitive and semantic search that is fine tuned for chemical and pharma domains. We are looking for a motivated and highly self-driven student to support our AI startup for a period of 6 months. Are you the right one to start together with us on our startup journey? Your role You will work closely with core dev team in customizing state of the art natural language processing models for chemical and pharma domain You will work on building state of the art cognitive search for structured and unstructured data, leveraging transformer architecture and knowledge graphs You will work together with the internal team on testing various high-performance AI/ML models on the cloud You will work closely with customers to understand requirements and onboarding accordingly Your offer You will soon be completing a degree (Bachelors or Masters or PhD) in Mathematics, Statistics, Economics, Econometrics, Data Science,...

Risk Management sits at the heart of Ratepay, it enables revenue growth, protects consumers, merchants and the company from e-commerce fraud and for our direct profitability. Itself it is driven by rigorous and fast decision making, human or machine. To enable and augment Ratepay's further growth we need a scalable, flexible and enabling Machine Learning platform. Your tasks are Build and evolve a scalable and flexible platform and tools for Risk ML R&D and production services, which increases automation and performance Be a mentor on ML Platform topics within the team and company Enable Machine Learning Engineers and Data Scientists with platform solution to push the envelope on e-commerce fraud prevention and risk decisions Drive implementation and improvement of ML lifecycle management That's what you bring along Ability and desire to build and shape the ML Platform nearly from scratch, i.e. selecting and implementing ML platform technology Experience...

Are you ready to take on the challenge to understand our customers with us. Like most media houses we need to better understand how we can get in touch with our subscribers. This includes how long they stay with us divided by the different channels which we used to get in touch with them or how much money can we spend for marketing, etc. Nobody hits the ground running. You won’t be able to answer every question immediately or know how all the systems work on day one - and we don’t expect you to. We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with Axel Springer National Media & Tech. Become a data-loving scientist and shape with us the future of our subscription business you help us reach the next level of publishing - help us to evolve, innovate and accelerate...

Together, we work every day on customized solutions for major online retailers and marketplaces, shaping the payment solutions of tomorrow. We are looking for a pragmatic and rigorous Machine Learning Engineer (m/f/d) who can collaborate effectively and take ownership in a diverse team to build and run ML products that solve complex business challenges at scale in the Risk Management domain help shape the future of ML engineering at Ratepay by bringing your ideas on improving and automating what we do and how we do it Design, implement and improve scalable, efficient, and well-tested ML engineering solutions, which includes fraud prevention and credit risk decision systems with advanced feature engineering, algorithms and experimentation Build and own large additions to our ML engineering framework, charged with finding ways to create and improve scalable and reliable ML delivery solutions That's what you bring along Professional experience and proficiency in...

Wüest Partner ist ein innovatives und unabhängiges Dienstleistungsunternehmen in der Immobilienwirtschaft. Seit 1985 schaffen wir fundierte Entscheidungsgrundlagen mittels Kombination von Expertise, Daten und digitalen Lösungen. Branchenführend mit umfassenden Leistungen in den Bereichen Bewertung, Beratung, Daten & Analysen, Produkte, Software und Bildung um unseren Kund:innen zu neuen Perspektiven und nachhaltiger Wertschöpfung zu verhelfen. Wüest Partner befindet sich vollständig im Eigentum der aktuell 23 Partner und Partnerinnen. Diese bürgen für Kontinuität, Qualität und Unabhängigkeit. Wüest Partner beschäftigt als Gruppe über 300 Mitarbeitende an 11 Standorten in Europa mit Hauptsitz in der Schweiz. Der Gruppe zugehörig sind die Tochtergesellschaften durable, datahouse und homadata. Um das starke Wachstum unserer Division Data, Analytics & Technology (kurz: DAT) in Deutschland weiter voranzutreiben, suchen wir für unseren Standort in Berlin eine:n...

Luxoft is one of the major Software Services companies world-wide. We deliver professional software services in multiple business verticals such as Finance, Automotive, and Digital Transformation. Luxoft is building up a new special purpose organization targeted at developing In-Vehicle Infotainment systems for the age of autonomously driving vehicles. How do people in cars spend their time? How do they interact with information and how do they best utilize the cars infrastructure in a future 2021? How to surpass all the benchmarks in automotive SW development. We believe that Software is the driving force to enable and differentiate in future environments. To achieve outstanding user experience, we want to apply the best of open source in the way that open source communities are meant to work, we focus on living continuous integration up to its most modern concepts including continuous delivery right into the vehicle. Our project setup and way of working follows agile...

At Henkel, you can make a difference and craft your career. That’s why you own your projects and take full responsibility from an early stage. Our unique brands in markets around the world open up countless opportunities to follow your convictions and explore new paths. If you have an entrepreneurial mindset that allows you to always think out of the box - take the chance and shape the digital future together with us. YOUR ROLE Act as lead developer for analytics solutions and datasets for end users, modeling data in a way that empowers end users to answer their own questions Organize and transform data in a meaningful way and provide additional context so that it is ready for analysis Develop and use tools, algorithms, and processes for data analysis and data visualization to generate reports to be used in decision making of end users Write production-quality ELT code with an eye towards performance and maintainability Live software engineering best practices (e.g.,...