Posts List

Data Scientist (m/f) at relayr GmbH (München, Germany)

Have you dreamed of building the future? relayr has become Europe’s leading platform for the Internet of Things, enabling the interaction between diverse systems, and creating new scenarios in which we interact with the world around us. If you would like to work with a great team and technology to build the infrastructure for the next generation of connected devices… Then relayr is the right place for you! We have a cloud interoperability problem supported by a diverse mix of SDKs and APIs for both IoT hardware and Applications that want to access the data.

Advanced Analytics & Machine Learning Senior Consultant at Innovation Process Technology (Zürich, Schweiz)

Daten sind das neue Gold der Digitalisierung – helfe unseren Kunden zu Wettbewerbsvorteil. Du willst coole Software-Lösungen mit leading-edge Technologien rund um Advanced Analytics und Machine Learning bauen und damit Blue Chip Firmen wie PostFinance, Helsana, Swiss Re oder SBB helfen sich über Daten auf dem Markt zu differenzieren. Du suchst Herausforderung und Innovation. Dann arbeite in einem abwechslungsreichen und inspirierenden Projektumfeld in cross-funktionalen Teams. Was wir für dich tun People First – Mitarbeitende stehen bei ipt an erster StelleJeder kann sich einbringen und Verantwortung übernehmenWissen wird geteilt und wir unterstützen uns gegenseitigUnser einzigartiger Teamspirit wird aktiv gelebtWas du bei uns tust

Working Student or Thesis for Deep Learning at Gini GmbH (München, Germany)

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 

Data Science Course Instructor (60-80%) at EPFL Extension School (Lausanne, Switzerland)

The EPFL Extension School is looking for an experienced data science instructor to join our team. The course instructor will be responsible for assisting our learners as they progress through our courses and programs (for curriculum details please see our web site). This will mean supporting learners through 1-1 chat, group chat, support forum, for their course and capstone project work and presentations. The role will also involve creating and grading exercises and projects for learners.

Data Scientist (f/m) at Feingold Technologies GmbH (Berlin, Germany)

Area of responsibility The Data Scientist is responsible for designing, developing and implementing learning algorithms and analyzing big data in the health care domain. Tasks and responsibilities Participate in cutting edge research in machine intelligence and machine learning applicationsDevelop solutions for real world, large scale problemsExperiment with novel approaches, some of which might have originated from academic workWork closely with the backend engineers to design and maintain scalable data models and pipelinesRequirements

Data Analyst (m/f) at LOVOO GmbH (Dresden, Deutschland)

Data Analyst (m/f) Dresden | full-time Your tasks Exploring data to find actionable insights and make product recommendations through funnels, cohort analyses, long-term trends, user segmentation, regression models and moreIdentifying, translating, prioritizing and informing important product questions with dataSetting up, analyzing and promoting good practices for multivariate experimentsWorking with engineering to implement, document, validate and monitor our logging and metricsCrafting simple, dependable data pipelines and automated reporting to surface metricsWorking towards creating a data-informed culture at LOVOOWe offer

Lead Data Scientist (Machine Learning) at Careem (Berlin, Germany)

Careem is a leading ride sharing app operational in over 80+ cities. With 30% monthly growth, we are one of the fastest growing companies in our region. Our recipe for success has been a team that thrives on challenges and is passionate about solving problems.  After our recent investment of $500m, we are now the 180th unicorn globally and scaling at the speed of lightning We like to describe Careem as the “data science paradise”, as we are working on most of the data science problems one can encounter.

Machine Learning Engineer Industrial Deep Learning (m/f) at CeleraOne GmbH (Berlin, Deutschland)

Develop Revolutionary Machine Learning Applications with us! We are a team of highly motivated software architects and mathematicians with diverse backgrounds – from machine learning, routing algorithms, and signal processing to compiler technology and mathematics. We combine our knowledge to advance CeleraOne’s machine learning models and applications every day. Job Description - Modelling industrial processes using advanced machine learning methods - Utilizing modern machine learning frameworks: Google TensorFlow, scikit-learn, pandas, and more

Data Scientist at Starmind International AG (Küsnacht, Schweiz)

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.

Data Engineer (m/f) at Risk.Ident GmbH (Hamburg, Deutschland)

About As a Data Engineer at RISK IDENT, you will be a member of our FRIDA ML team. This team is developing one of our products based on a scalable platform for real-time data processing, analysis and prediction, turning insights and models into the production code that forms the backbone of our fraud prevention solutions. The Data Engineer role at RISK IDENT combines Data Science and engineering skills, with a very strong focus on the latter.

Data Engineer, Data Product (Spark & Scala)-Turn trips into amazing experiences! at GetYourGuide AG (Berlin, Germany)

As a Data Engineer - Data Product you will be working in a small and multi-disciplinary team solving unique relevance challenges. You will have significant ownership and responsibility in using data and machine learning to impact our customers and business. About GetYourGuide: With 400+ employees from 50 nationalities, GetYourGuide is on a mission to turn trips into amazing experiences, using our product and technology to change the way travelers find and book things to do and explore their destination.

Python Senior Data Scientist (m/f) at FlixBus (Berlin, Germany)

We want to grow our successful German business and therefore we are looking for a Senior Data Scientist (m/f) based in Berlin, Germany. Your tasks You analyze our data and prototype demand forecasting and customer behavior models You use statistical models to answer real-life questions like You answer questions such as “How many people will travel from Berlin to Munich during  Octoberfest?”, “What are the effects of price changes?”, “What will be the new trending vacation destinations next summer?

Data Scientist (Beat Product) m/f at mytaxi (Intelligent Apps GmbH) (Berlin, Germany)

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

Senior Big Data Software Engineer (Beat Product) m/f at mytaxi (Intelligent Apps GmbH) (Berlin, Deutschland)

About Us Beat is a platform that transforms the way people move in their cities. Tap on a button on your smartphone and you get a ride in just a few minutes. In early 2017 Mytaxi, a subsidiary of Daimler A.G, acquired Beat. Beat started its life as Taxibeat, 6 years ago in Europe and 3 years ago expanded its operations to Peru where it serves millions of rides every single month.

Big Data Analyst / Data Scientist at P3 group GmbH (Aachen, Deutschland)

Ref. No. 2371 Your tasks Analysis of complex data, data preparation and development of prognostic models based on modern statistical methodsAdvancement of our innovative services through use of modern technologies in data analytics and Big DataIdentification of specific customer problemsConsolidation of data and analyses results as well as creation of appropriate visualization to conclude recommendations for actionCoordinating internal and external project partnersPlanning, prioritization and implementation of different project tasks according to the customer requirementsPreparation as well as holding customer presentationsYour skills

Machine/Deep Learning Engineer at INAIT (Lausanne, Switzerland)

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:

Senior Big Data Engineer (Hadoop/Spark) at The ADEX GmbH (Berlin, Deutschland)

At ADEX we’re working on a real Big Data scale. We analyze and segment daily billions of requests in a YARN/Hadoop cluster of more than 60 machines. In the next phase of development, we are planning to re-design more parts of our Big Data system to make them work in real-time. This will involve the usage of some cutting-edge technologies and also the challenge to extend the on-premise cluster to the cloud.

Machine Learning Engineer (m/f) - Mid Level (python, pyspark, hadoop, docker) at HelloFresh (Berlin, Germany)

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.

Data Scientist | Machine Learning Specialist at cognify KG (Salzburg, Österreich)

We are a fresh start-up with the mission to empower companies with our machine learning, analytics and engineering skills! Therefore we are looking for versatile minds who love working with data, the more the merrierare nuts for new techwilling to go new wayschallenge themselves with intriguing problemsbut still think in solutionsand as life is short, HAVE FUN AT WORK!Our goal is to setup of a diverse team of freaks from different fields inspiring each other to “cognify” this world!

(Senior) Machine Learning Engineer for Autonomous Driving (f/m) at BMW Group (München, Deutschland)

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.