Banking has a name. And we create it. For more than 6.5 million customers across Europe, George stands for a digital banking experience that combines design and technology on an open platform. Born and raised in the George Labs of Erste Group and the Digital Banking division of Erste Digital, we are designers and developers, analysts and engineers, product owners and product managers, architects, data scientists, writers, coaches, testers and, well, a few bankers.

Deine Mission Du trägst die Verantwortung für die Initiativen sowie die datengetriebenen Themen rund um Product AnalyticsIm engen Austausch mit Stakeholdern identifiziert du Use-Cases für datengetriebe Entscheidungen und setzt diese umDu unterstützt die Product Owner dabei, relevante KPIs für Ihre Produkte zu definieren, zu verfolgen und sicherzustellen, dass die generierten Insights stets akurat und verständlich sindDu baust Dashboards zur Visualisierung der Daten als Basis datengetriebener EntscheidungenDu etablierst für die unterschiedlichen Use-Cases Datenflüsse – und stellst damit sicher, dass Daten dort hingelangen, wo sie für unsere Businessprozesse benötigt werdenDu stellst sicher, dass die die Tracking-Implementierung funktional und up-to-date bleibtDein Gut und Gerne

Want to be a Hero? - Join one of the leading global online food ordering and delivery platforms! We are looking for a Senior Data Engineer (f/m/d) to help us deliver an amazing search experience in more than 45 countries and 25 languages. We power 50M+ searches per day across 4 continents, with local Elasticsearch clusters on top of Kubernetes. You will be helping the team deliver high-quality results by using state of the art technology in Information Retrieval and Machine Learning.

Deine Mission Du trägst die Verantwortung für die Initiativen sowie die datengetriebenen Themen rund um Product AnalyticsIm engen Austausch mit Stakeholdern identifiziert du Use-Cases für datengetriebe Entscheidungen und setzt diese umDu unterstützt die Product Owner dabei, relevante KPIs für Ihre Produkte zu definieren, zu verfolgen und sicherzustellen, dass die generierten Insights stets akurat und verständlich sindDu baust Dashboards zur Visualisierung der Daten als Basis datengetriebener EntscheidungenDu etablierst für die unterschiedlichen Use-Cases Datenflüsse – und stellst damit sicher, dass Daten dort hingelangen, wo sie für unsere Businessprozesse benötigt werdenDu stellst sicher, dass die die Tracking-Implementierung funktional und up-to-date bleibtDein Gut und Gerne

1plusX’s mission is to place marketing messages where they have the most impact. We think pinpointed targeting is the key to online marketing success. That’s why we designed a platform to create data insights in order to make online business measurably more successful. 1plusX software ingests data and learns from it in order to make predictions on how customers and future customers behave online. We are looking for outstanding people! Are you an ambitious and energetic team player?

Our goal @Zenjob is to match people with work that interests them by giving them the freedom to decide when and where they want to work through automation and digitalization. We focus on this effort by working in value streams with engineers embedded directly into cross-functional teams. As a Senior Backend Engineer for Machine Learning, your main objective is to identify the relevant information we need and provide methods to use this knowledge to provide the best possible experience for our customers.

Our goal @Zenjob is to match people with work that interests them by giving them the freedom to decide when and where they want to work through automation and digitalization. We focus on this effort by working in value streams with engineers embedded directly into cross-functional teams. As a Senior Backend Engineer for Machine Learning, your main objective is to identify the relevant information we need and provide methods to use this knowledge to provide the best possible experience for our customers.

Data Engineer Stack PostgreSQL , ElasticSearch, AWS DynamoDB, Python If you are looking to have an impact on the world then read carefully because at Choco we are moving mountains to transition the world into sustainable food systems. The food industry is one of the oldest and largest industries that exists. It’s an industry with essential problems, especially regarding the food supply chain.  We are leveraging technology to bring change and start the necessary transformation the industry is craving for.

Du hörst nie auf, neugierig zu sein, und willst jeden Tag dazulernen. Und das am liebsten von den Besten und mit den besten Aussichten. Du suchst die Herausforderung und möchtest endlich die Theorie Deines Studiums in die Praxis umsetzen. Beste Voraussetzungen, um als Werkstudentin oder Werkstudent bei uns richtig durchzustarten. Wir bieten Dir den Rahmen und die Mittel, die Du brauchst, um erfolgreich zu sein. Jump on.  Deine Aufgaben: Große und/oder komplexe Datenmengen sind Dein Ding?

We’re looking for experienced engineers to join our team to build elegant, scalable systems that use NoSQL data stores, data warehouses, Spark, 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!

We, at Scout24, are building a completely new team dedicated to market analytics and Data product development. Therefore, we search a Data Scientist to drive forecasts and user classification. You will have the opportunity to work with a group of highly motivated team members in a cross-functional setting together with Data Analysts and Engineers. This is a key role, to successfully develop new products and solutions for our Scout24 customer base and to generate immediate revenue impact.

Tamedia is the leading private media group in Switzerland. The digital platforms, daily and weekly newspapers and magazines of Tamedia offer overview, classification and selection. The company was founded in 1893 and employs a staff of approximately 3,400 in Switzerland, Austria, Denmark, France, Germany, Israel, Luxembourg and Serbia. It has been traded at the Swiss stock exchange since 2000. Launched in 2010, tutti.ch is an online classifieds site for buying and selling.

Ihre Aufgaben: Sie entwickeln innovative Lösungen mit Methoden des modernen Datenmanagements und der automatisierten DatenanalyseSie führen Proofs of Concept durch und implementieren Prototypen zur Datenmodellierung, -verwaltung sowie -auswertungSie haben Spaß daran, mit umfangreichen, komplexen Datensätzen verschiedener technischer Domänen zu arbeitenSie entwickeln Lösungen zu speziellen Herausforderungen der Datenanalyse mit passenden Datenmanagement Konzepte und KomponentenEnd2End Datenanalysen inkl. Anforderungsanalyse, Datenvorbereitung, Modellbildung, Datenmanagement, Validierung sowie Data Storytelling gehört auch zu ihren AufgabenSie sind als Spezialist der Ansprechpartner für unterschiedliche interne und externe Stakeholder und arbeiten cross-funktional im gesamten UnternehmenIhr Profil:

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!

Yelp’s data mining engineers are a passionate and diverse group of engineers who can work across disciplines to build incredible data-driven products. We are responsible for the whole stack: scoping the problem by digging through data with Redshift and Jupyter, researching and developing potential algorithms and approaches, training and tuning a model, and finally scaling it to millions of users, businesses, and advertisers. On the User Location Intelligence team, our mission is to reliably handle the industry’s best user location data.

InVision ist anders. Wir sind lean und agil, mögen keine Hierarchien und unser Herz schlägt für High-Tech. Wir lieben Experimente, hinterfragen alles und fürchten nichts außer Zombies und Bürokratie. Mit unseren Software- und E-learning-Produkten injixo, InVision WFM und The Call Center School helfen wir Contact Centern, ihre Mitarbeiter besser einzusetzen und kontinuierlich weiterzubilden. Wie wir coden Zur Zeit nutzen wir im Backend Ruby, Elixir, PostgreSQL sowie InfluxDB und entwickeln unsere Frontends mit React.

Deine Aufgaben Du arbeitest an der Gewinnung von wertvollen Informationen aus vorhandenen, ungenutzten Datenquellen und Echtzeitdaten (Big Data)Du führst Analysen ungeordneter, heterogener Datensätze anhand statistischer und mathematischer Methoden durchDas Erkennen von Zusammenhängen versteckter Muster und verborgenen Trends ist Teil Deiner täglichen ArbeitDu übernimmst die Interpretation und Visualisierung gewonnener InformationenDu formulierst die Beschreibung von Handlungsempfehlungen für das jeweilige Projektteam. Damit ermöglichst Du unseren Kunden, die richtigen Business-Entscheidungen zu treffen Dein Profil

 Are you a passionate team player who is looking for a once in a lifetime experience in a successful startup? We are looking for a regionally living intern (EU) in his/her final semester (Ba/Ma).  Zenjob is offering you immediately a variety of exciting work opportunities, quality employee training and the possibility to be a part of a talented, diverse team. Start as an working student (part time), intern (fulltime) or write your Bachelor/Mater thesis at Zenjob.

View job and apply on the corporate career site here. Tasks: Exploring, understanding, and implementing data processing and machine learning pipelines using state of the art tools and frameworksAssessing and improving the precision, performance, and scalability of data processing and machine learning pipelinesEnsuring and sustaining production quality through continuous deployment, evaluation, and refinementRequirements: Master’s degree in Computer Science, Mathematics, Statistics or related fieldAt least 2 years of experience building Machine Learning-based productsAt least 2 years of experience in Python developmentExperience developing data processing and machine learning pipelines in Python using scikit-learn or deep learning toolkitsAbility to write well-abstracted, reusable, production grade code componentsExcellent written and communication skills in EnglishView job and apply on the corporate career site here.

XING works towards “a better working life”. One key element of this mission is XING’s job marketplace (xing.com/jobs) that helps our users in exploring their next career steps. We are a team of Business Analysts, Designers, Software Engineers and Data Scientists - try to turn this marketplace into a data-driven product that supports our more than 12 Million DACH users in finding relevant jobs (e.g. via search or recommendations). Therefore, we work with the latest technologies in a highly international environment and bring state-of-the-art research into production.