To support our ambitious growth, we are now looking for a Data Engineer (m/f/x) for our Charter 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 charter domainYou will work with your team to decide on and improve the database architecture/host/slave (including some data preprocessing, automatization, isolation) to allow Charter specific functionalityYou overhaul and maintain the views and queries and adjust them after database changesYou work closely with our charter development team regarding database workYou will instruct SQL users how to write efficient queriesYou will be the interface between business and IT and you will inform business about any relevant database changes in timeYour Profile – Ready to hop on board

Your job Become a domain expert of our customer databasesRun ad-hoc analysis to detect inconsistencies and anomaliesWork on jupyter notebooks to answer business queries over a very large datasetProvide easy access to data for other team membersWork closely with software development teams to build future analytics applicationsYour profile Solid skills in SQLExperience with Postgres and/or other SQL-based databasesUnderstanding of noSQL databasesSoftware development skills in PythonKnowledge of software development processes is a plusGood conceptual understanding of data structuresEnjoying working and communicating in a teamExperience working with git version control is a plusStrong technical and problem-solving skillsSolid understanding of ExcelSolid English skillsOptional skills and experience

As Data Engineer in the Merchant Operations team you will build the data warehouse for marketplace and processing big amounts of raw data. You work closely with key stakeholders in product, engineering and operations to form deep understanding of marketplace dynamics WHERE YOUR EXPERTISE IS NEEDED Own, design and organise all data flows from scratchInvolve product and engineering to integrate various sources of dataDevelop rigorous data science models to aggregate inconsistent real-time signals into strong predictors of market trendsAutomate and own the end-to-end process of modelling and data visualization.

Als Data Scientist im agil arbeitenden Team Retail Media übernimmst du die Verantwortung für die Entwicklung von Machine Learning Modellen für neue Kundenprofile und das Look-alike-Modeling Du entwickelst neue Ansätze zum Transfer Learning auf unterschiedlichen Feature Spaces Zusammen mit dem Team sorgst du dafür, dass die Machine Learning Modell production-ready sind und überwachst den Betrieb zusammen mit deinen Kollegen Durch explorative Datenanalysen unterstützt du die Bewertung neuer Ideen und sorgst für datengetriebene Entscheidungen Du arbeitest bei der Umsetzung der User Storys zusammen mit dem Team und unterstützt durch dein Fachwissen bei der Konkretisierung von User Stories Link: https://www.

SUMMARY We’re looking for exceptional MSc & PhD students to join us as interns at Rasa. We’re open to full-time commitments of a few months. We’re an early stage startup, which means you’ll get experiences & responsibilities that you wouldn’t get interning anywhere else. ABOUT THIS ROLE The core of your role is designing, implementing, and training algorithms that drive conversational software, and furthering your skills working with an incredible team.

Am Institut für Instandhaltung und Modifikation erforschen wir die Optimierung und Automatisierung von Prozessen der Flugzeuginstandhaltung, neuartige Diagnose-, Wartungs- und Modifikationstechnologien sowie deren modulare Verknüpfung. Die Vision des Institutes ist ein effizienterer Betrieb von Luftfahrzeugen durch eine vorausschauende und bedarfsorientierte Wartung infolge der nahtlosen Integration von Prozessen und Informationen unter Berücksichtigung des gesamten Produktlebenszyklus. In unserer Abteilung Produktlebenszyklus-Management untersuchen wir integrierende Ansätze zur Optimierung der Produkteffizienz über alle Phasen des Lebenszyklus.

Your role As Data Scientist you will have end-to-end ownership over all internal processes that enable data-driven decisions. You will make use of your technical expertise and deep analytical skills to evaluate and make sense of millions of data points gathered daily across three platforms. Your entrepreneurial mindset will allow you to help drive business decisions based on your findings. Your work day to day will involve managing and improving our data warehouse, driving the

To support our ambitious growth, we are now looking for a Data Scientist (m/f/x) in Munich starting as soon as possible.Your tasks - Paint the world green • Conducting research, developing machine learning prototypes and bringing them into production  • Supporting your product team in delivering business value – that is a team level responsibility. We call this responsibility Product First • Analyzing large and complex data sets  • Working closely with multiple levels of stakeholders 

Delivery Hero is building the next generation global online food-delivery platform.   We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.   If you’re an enthusiastic, innovative problem solver, hungry for a new adventure, an exciting job and an international workplace is waiting for you in the heart of Berlin!

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?

SPRING is responsible for over 60 products from more than 25 Brands and some of Europe’s biggest news sites including BILD.de and WELT.de. Over 350 people at SPRING are working on an innovative media platform to make quality journalism accessible for everyone. We are providing a great user experience on both sides – for readers and journalists, connecting them with the newest technologies. Together with BILD.de and WELT.de we are reaching more than 20m users every day and our data pool is growing constantly.

About the team:  We are team Bus Factor, a cross-functional team of highly motivated data scientists and engineers. We are striving to solve highly challenging real-world problems that have an impact (and that are NOT related to marketing!). Our goal is to sell the right ticket at the right time to the right person for the right price to maximize revenue. We hold regular knowledge-sharing sessions for exchanging ideas about the latest technologies and organize bi-monthly HackrDays were we contribute to open source projects and innovative business initiatives.

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

These tasks are waiting for you: Develop and implement management processes for large IoT data volumes generated by users of smart devicesPerforming root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementOptimization and maintenance of the ETL process (extraction, transformation, loading)Collaborate with our company’s IT department to assess technical requirementsManage and complete your own projects Assist with quality assurance and data maintenanceAssist with analytics and projectionsDevelop workable approaches for action, decision making and algorithmic sales and purchasingManage and expand our RT and NRT processing systemsUse standard and new data evaluation methods that are centered around user behavior regarding compatible IoT devicesWho we are looking for:

This is a key role within our Data & Analytics team and gives you the opportunity to build a world-class Data Landscape for Scout24. This is ideal for someone with strong focus on cloud-based data technologies, good service and DataOps orientation, and loves to build data-driven business. You will be involved in working with huge amount of data, cutting-edge technologies and working with some of the most influential and impactful data projects in Germany.

Delivery Hero is building the next generation global online food-delivery platform.   We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.   We are looking for Data Scientists in different entry levels to join our central Data Science team in Berlin.

As a Google Cloud Integration Engineer you are helping Zalando teams to easily access, process, and work with data by taking care of Google Cloud data services with an initial focus on BigQuery integration with other data services of Zalando. You are responsible for the automation of role and permissions management, as well as further automation with existing Data Lake and Streaming products developed inside Zalando (e.g. using Python). You are a part of a cross-functional, high performing team, building technologies that connect every part of the fashion industry.

Your role Data engineers are the central productive force of PriceHubble. As a data engineer, your mission will be to build and maintain our extract-transform-load infrastructure which consumes raw data and transforms it to valuable real estate insights. Your daily challenges will be to mine a wide range and variety of new datasets of all sort, build new datasets, extract and create new features. These features and insights are either directly used as part of our product or as a signal in our machine learning algorithms.

We are searching for resourceful and innovative Lead Data Analyst to join our fast-growing team in Berlin. You will lead a team of Data and Business Analysts and work closely with Data Scientists and Engineers. As an ad tech company, data is at the core of everything travel audience does. By joining us, you will find ways to provide relevant data insights to our business and play an integral part in helping us become the world leader in the travel advertising domain

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere