ABOUT THE TEAM Department: Personalized Marketing Reports to: Data Engineering Lead Team Size: 5-10 You’ll join the Data Engineering team within Personalized Marketing, a team which builds advanced data products focused on measuring the performance of our marketing activities with a direct impact on millions of Euro spent. WHERE YOUR EXPERTISE IS NEEDED Implement and maintain sustainable, high-performance, growth-ready data-processing and data integration pipelines to measure the performance (Return on Investment) of our marketing activitiesBuild applications and services to integrate data from internal and external sources, especially to ensure a better cross-device recognition of customers or to increase the tracking data quality, an essential source for our marketing campaign performance measurementClose collaboration with our product managers to define realistic roadmaps and products that will be successful in productionSupport our Data Scientists by preparing easily consumable data sets to let them focus on Data Science instead of data cleansing and transformation as well as bringing their products into productionWHAT WE’RE LOOKING FOR
Our Data Solutions team forms an essential link between our business and infrastructure teams: it defines and implements business processes in data pipelines, monitors existing services and thereby provides the best service to our customers. As a full-stack developer in our Data Solutions team you will be working on a broad set of real-world problems of large scale that have a direct and significant business impact. Are you willing to challenge our status quo, drive innovation and apply agile best practices?
Rund 1.500 Mitarbeiter arbeiten bereits daran, für unsere Kunden den Traum vom Eigenheim zu erfüllen! Tragen auch Sie dazu bei – in einem kollegialen wie leistungsorientierten Umfeld, das Ihnen viel Raum für Ihre eigenen Ideen bietet. Erleben Sie bei uns Hochleistung und machen Sie das Zuhause der Baufinanzierung zu Ihrer beruflichen Heimat: beim wachstumsstärksten Finanzdienstleister in Deutschland als Data Scientist (m|w) an unserem Standort München Das erwartet Sie Als Visionär kombinieren Sie Daten-Expertise mit einer unternehmerischen Sichtweise und optimieren somit unsere Dienstleistung aus Kundensicht.
Uns hast du hier nicht erwartet oder? Aber mal ehrlich: Mode und IT sind Welten die man selten miteinander verbindet, aber hier bei Breuninger tun wir genau das! Während wir unsere neue wegweisende E-Commerce Plattform von Grund auf neu entwickeln, arbeiten wir an unserer IOS und Android App, Beacon Technologien, Data Science Projekten und einer Menge mehr! Hast du Interesse daran in einer agilen Umgebung an einer Fülle von zukunftsweisenden Projekten zu arbeiten – Und das mit Kollegen, die auch an deiner Entwicklung interessiert sind?
We are offering you an exciting role as a software engineer (f/m) in the field of machine learning. Join one of our agile features teams to develop sophisticated algorithms for autonomous driving. Contribute to the autonomous vehicle being able to orient itself, assess situations and select the most appropriate and comfortable driving strategy – even in urban environments. Use your expertise to participate actively in all development phases from prototyping in Python, using state-of-art machine learning frameworks and ROS, to writing C++ code that runs in the final production vehicles.
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 900,000 customers in 11 countries. In only 7 years on the market, we have grown to more than 220 million Euros in annual revenue. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success.
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 customers in 11 European countries. In less than 7 years on the market, we have grown to 220 million Euros in revenues in 2017. More importantly, the opportunity ahead of us is massive. The Westwing team is the secret to our success. Around 1.
FlixBus – A place to enjoy work and have an impact To support our ambitious growth, we are now looking for a Principal Data Scientist (m/f/x) in Munich 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
As a Senior Developer at CARFAX Europe you will be a part of an agile, cross-functional team that is responsible for the full lifecycle and operation of its product(s). You will develop tools and services for both our internal and external customers. Being a senior and having gained valuable experience in the past, you enable the team to establish and improve sustainable practices such as Test-Driven Development, Object-Oriented Design, and Pair Programming. You will strengthen your team by providing feedback and guidance in order to better achieve your goals together.
FlixBus – A place to enjoy work and have an impact To support our ambitious growth, we are now looking for Data Engineers (m/f) for our Network Planning Domain in Munich starting as soon as possible. Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team owning the network planning web application and will hence directly contribute to the success of the core business.The mission of the team is to work on a tailor-made planning software, which enables the user to create high-quality schedules that are demand-oriented and cost-efficient.
Deine Aufgabenfelder: Aufsetzen des Frameworks für unser Cloud-basiertes Data Processing & Analytics, Mithilfe beim Aufbau einer State-of-the-Art Industrial IoT Plattform unter Nutzung vorhandener ProdukteGestaltung von Dashboards & VisualisierungenUnterstützung der Softwareentwicklung auf Basis von stark datengetriebenen Analyse-/ML-/AI-MethodikenBetreuung von Configuration Management, etc.Unterstützung der Produktentwicklung in cross-funktionalen TeamsProjektmanagement und ReportingDeine Qualifikationen: Erfolgreicher Studienabschluss im Bereich Informatik oder vergleichbarKenntnisse im Aufbau von Analytics-UmgebungenErfahrung im Dashboarding und der VisualisierungIntensive Erfahrung mit Google Cloud, AWS, o.ä..Kenntnisse im Bereich Datenbankdesign und DevOpsErfahrung im Design von Programmierschnittstellen (APIs, Bibliotheken), bevorzugt mit PythonAusgeprägte analytische DenkweiseSelbstständige und ergebnisorientierte ArbeitsweiseDomänenwissen im Bereich Windenergie von VorteilGute Deutsch- und EnglischkenntnisseDeine Benefits:
We are offering you an interesting and challenging role as a Big Data Engineer (f/m) contributing directly to the development of algorithms in the field of autonomous driving. Data-driven software solutions are at the core of the autonomous driving project, serving agile feature teams that develop sophisticated algorithms for environment perception, situation analysis and driving strategy selection. As a Senior Big Data Engineer (f/m) you will contribute your ideas and knowledge in designing and implementing solutions for ingestion, storage, retrieval and analysis of data from test vehicles that is used to train machine learning models as well as for functional validation.
We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, MapReduce, and streaming solutions to power a whole host of personalized experiences for Yelp’s users and drive optimizations for Yelp’s advertising businesses. If you’re the person who leads their team in replacing an aging system, or dives fearlessly into the guts of a running system to fix that bug everyone else is happy to gloss over, then you’re the one we’re looking for!
Scout24 Insights and Analytics is a diverse team of data experts that unlocks business value in product development, marketing and customer experience by enabling self-service of data and information and providing deep business insights. We are looking for a Data Engineer who is excited about building scalable data flows and bringing innovative new ideas on information discovery to live. What you will do at Scout24: Build and maintain scalable, high performing data-processing workflows with a focus on extensibility.
Do what you love: You will be creating experiments based on exploratory analysis with our data in order to extract knowledge.You will analyse data in order to confirm or disprove hypotheses by the product owners.You will be building statistical and machine learning models for prediction and segmentation and be responsible for designing and visualising metrics, constantly looking beyond the numbers.You will be monitoring key product metrics and analysing the reasons they change.
ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <7 Recruiter: Almog Greenberg, firstname.lastname@example.org For 60% of customers, good prices are the reason for choosing an online retailer. As a Data Specialist within Zalando’s Competitive Pricing team, you will have a direct and significant impact on our customers, revenues and profits, by making sure our offers across all markets and brands are attractively positioned. As part of our cross-functional agile team consisting of engineers and data scientists, you will automate pricing decisions based on our vast amount of crawled data as well as improve and develop pricing algorithms.
Are you an engineer with a passion for data and data pipelines? Are you a great collaborator and communicator, working across teams to solve complex problems? If so, we should talk. Our Marketplace team is looking for an innovative yet detail-oriented individual to set up, maintain, improve and optimise our daily production of data. In this role, you will work closely with both Data Scientists and other Data Engineers to continuously enhance our data-driven decision making.
Are you an experienced data scientist with a passion for research, who wants the chance to apply your knowledge on the conceptualization and development of machine-learning algorithms to drive forward a global metasearch? Our Business Intelligence team is searching for a data-driven expert to improve and transform existing processes and initiate new machine learning projects, to solve an array of problems from conception to execution. Ready for the challenge? Read on and join our Talent Community today!
To strengthen our international team in Berlin, we are offering a full-time position as Engineering Manager, Data (m/f) Retailers face unique challenges - we support them with technology-led solutions. Crealytics is a customer-centric organization: our data-driven, proprietary technology aids some of the world’s biggest eCommerce players (including Foot Locker, ASOS, and Harrods). Crealytics’ Product & Technology specialists are key to this. From design and engineering to data science, they work closely with our Digital Marketing and Business Intelligence teams.
Who we are The future of transportation is Green. Here at FlixMobility Tech, the R&D group, we develop software with the brightest minds from around the world to engineer new experiences for our millions of customers across our apps and websites. Every day we solve challenging problems, like how to scale rapidly around the world and how to make an experience that delights our customers. We have a culture of sharing ideas, contributing to open source projects and being an active member in our technical communities.