About the role Create and deploy production-ready machine learning models, life-cycle managementEvaluate and assess model quality through metrics and experimentsEnd-to-end responsibility for socio-demographic predictions, audience expansions and interest inferenceWriting production code with Spark and Scala and creating advanced pipelines with LuigiWorking with git on github, various services on AWS, Jira and Confluence with an agile software development cultureAbout you Deep knowledge in Scala, Java or C++ and strong skills in either Python or BashExpertise in using Spark, Hadoop, etc.

Tasks Analyse business processes throughout the company and decide for software support and integrations neededCollect all relevant information in one single data warehouse/data lake for analysisAnalyse & visualize relevant data for all business units from product development to manufacturing as well as marketing & salesAutomate internal workflows between departments e.g. build API’s between internal systemsHelp set up a scalable data analysis toolset in the cloudSupport product development team in visualising data generated from the hardwarePotential benefits per area

You and Your Role We’re looking for a generally nice and smart person to join our development and research team in Berlin. You have an academic background in machine learning and at least 3 years of hands-on industry experience.You consider yourself a Data Scientist beyond just using BI tools.You can verify your findings with sound & solid statistics.You’ve implemented different ML algorithms yourself and know which toolboxes offer well written variants of them.

Viastore entwickelt und verkauft Intralogistiklösungen in Form von Hardware und einer Warehouse Management Software-Lösung. In unseren Intralogistikanlagen bei den Kunden vor Ort werden jeden Tag enorme Datenmengen produziert. Diese möchten wir nutzen, damit unsere Kunden ihre Anlagen besser verstehen und wir bereits reagieren können, bevor technische Probleme entstehen. Sie haben spontan viele Ideen, wofür wir die Daten noch nutzen könnten? Als „Macher“ sind Sie bei uns genau richtig: Für unseren neu gegründeten Bereich „Business Intelligence“ sind wir auf der Suche nach einem Data Scientist, der Lust darauf hat in einem kleinen Team die Data-Science-Landkarte mitzugestalten!

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.

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

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.

As an Engineering Lead  team at Zalando Payments you and your team build and operate production grade machine learning systems, focused on supervised learning, which have a profound impact on our business. WHERE YOUR EXPERTISE IS NEEDED Lead others through complex, distributed systems, and understand the principles of highly available, scalable, maintainable and performant servicesEncourage individuals to grow their skills and capabilities through discovering and following their passion and purposeFacilitate collaboration and decision-making between different engineering teams and stakeholders and drive projects towards the realization of company goals.

Akelius buys, upgrades and manages residential properties. The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States. We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.

About the team:  We are a team of data scientists and data engineers that work on prototyping and testing various new data-driven products. When a product shows promise, we also move it into production. To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Berlin, Germany starting as soon as possible. Your tasks - Paint the world green Your purpose • You will 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 DNA

At HelloFresh, we want to change the way people eat. Over the past 5 years we’ve seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. Now we’re the fastest growing company in Europe, active and growing in 9 different countries across 3 continents.

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.

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.

Akelius buys, upgrades and manages residential properties. The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States. We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.

Akelius buys, upgrades and manages residential properties.  The company owns 47,000 apartments in Sweden, Denmark, Germany, France, Canada, England and the United States. We are a rapidly growing international company more than eight hundred employees around the world. An integral part of our company is the Technology department. The Development team consists of more than one hundred employees mostly based in Berlin. We offer excellent opportunities for intellectually curious people.

Our Marketplace team is looking for a Team Lead to help them successfully reach all their Data Science goals! Marketplace’s core responsibilities are: Creating a delightful & consistent experience for users who search for the best rate.Enabling our advertisers to run superior marketing campaigns.Monetizing our product at the highest efficiency.What you’ll do: Establish a vision for the team, and cooperate with your Product Owner on Roadmaps to realise that vision.Create better and smarter algorithms, independently, and with your team.

Sie konzipieren und bauen innovative Software-Lösungen mit leading-edge Technologien rund um Machine Learning & Advanced Analytics und helfen damit Firmen wie PostFinance, Helsana, Swiss Re oder SBB sich über Daten auf dem Markt zu differenzieren. Das tun Sie bei uns Richtig gute Softwarelösungen (MS Azure, IBM Watson) rund um Data Analytics, Stream Analytics sowie Machine Learning bauen und diese erfolgreich einführenUnsere Kunden beraten und gemeinsam eine Big Data und Analytics Strategie definierenGeschäftsrelevante Erkenntnisse durch quantitative Daten Analysen, Visualisierungen und intelligenten Algorithmen gewinnenMit Design Thinking oder Lean Startup unsere Kunden durch den Innovationsprozess begleitenDas bringen Sie mit

Zalon is the successful story of curated shopping experience, part of Zalando SE. Being part of Europe’s Leading Technology Fashion Platform, we live and breathe excellent data and software engineering. As a Senior Data Scientist at Zalon, you will be at the heart of business, data and technology; your work having an immediate impact on customer satisfaction and company profitability. As part of our empowering technology culture - Radically Agile - you will have the autonomy to develop innovative and complex algorithms for novel use-cases from scratch, while leveraging our rich data, spread across a large range of topics.