To support our ambitious growth, we’re looking for an outstanding Data Scientist (M/F/X) to join our team in Berlin, Germany starting as soon as possible.  We are striving to solve highly challenging real-world problems that have an impact (and that are NOT related to marketing!) Your tasks - Paint the world green The Challenge: Our goal is to sell the right ticket at the right time to the right person for the right price to maximize revenue.

An exciting opportunity has become available within the BMW Group for a Big Data Analyst (f/m) in the field of corporate quality management. The goal is to solve business-related questions of quality management (use cases) as a project leader using innovative analytics tools based on data: Evaluation of customer feedback, customer behavior, product / service usage, product defects, causal relationships / identifying patterns and deriving predictions. Work as an “ambassador” for big data analytics in business quality and beyond.

Do you love big data and analytics? Do you have a strong passion for empirical research and for answering hard questions with data? If yes, you will love working at MiNODES. At the core of our data analytics pipeline we apply advanced machine learning techniques to position people inside our customers’ stores based on wifi signals. We are constantly improving these algorithms and are experimenting with new state-of-the art technologies (e.

You Are Ready To Make An Impact As Zalando transforms from a pure online retailer to a fashion platform, we bring fashion competency and branding expertise to the game by connecting all the players in the industry: consumers, stylists, designers, brands, influencers, and, online and offline stores. By providing a bold mix of global brands, local designers and specialist labels, we create fresh concepts, high-impact campaigns, smart applications and innovative partnerships.

Major duties and responsibilities: Contribute to the development of Machine/Deep Learning applications using state art machine learning frameworks to advance and verify INAIT’s workflowTechnical survey of Machine/Deep learning algorithms and technologyEssential skills and experience required: Professional experience in developing Machine/Deep Learning applications, including CNN/RNN networksProfessional experience in the use of Deep Learning frameworks such as TensorFlow, Caffe, pyTorch, … to build machine learning applicationsExperience with text, image and sound data setsProfessional experience in developing Python codeProfessional experience in different phases of the software development life-cycle, including unit testing, continuous integration, version control, debugging and documentationProfessional experience using UNIX/Linux operating systemsGood team playerFluent spoken and written EnglishPreferred:

WORKING STUDENT OR THESIS FOR DEEP LEARNING  MUNICH, GERMANY - ON-SITE HOW YOUR NEW TEAM WILL CHANGE THE WORLD  At the team “Leap”, a tech innovation unit at Gini, we research the latest trends in Deep Learning and develop revolutionary AI solutions. You will join the innovators-force to support them with your ideas and high-quality code. YOUR PLAYING FIELD AT GINI  Your mission is to research ways of combining Computer Vision and NLP approaches for information extraction from document imagesYou will implement Deep Learning solutions for information extraction from document imagesYou will actively contribute to our Semantics and Computer Vision departments with your knowledge of latest discoveries in the field of Deep LearningYou will preferably write a Master Thesis based on the results of your researchYou will be putting your excellent research skills to the best use whilst working on experimentsYOUR PROFILE 

The Starmind Zurich team is looking for a skilled data scientist, who will join us in creating and innovating world-leading machine learning technologies. Here is a selection of tasks that you would handle over the course of a typical week as a part of the Starmind Team: Create prototypes and investigate their performance, thereby growing initial ideas into production-ready features.Work closely together with the Scrum team to implement new innovations in a robust and scalable way.