Relayr is the Industrial Internet of Things (IIoT) powerhouse delivering the most complete solution for risk-free digital transformations. We unleash data insights from existing equipment, machines and production lines to improve our customers’ business outcomes. We provide a unique combination of first-class IIoT technology and its delivery with powerful financial and insurance offerings — all from a single source trusted by hundreds of companies worldwide. With around 300 employees, we are a truly global family with locations in Germany, the USA, Poland, Italy, and the UK.

Are you looking for an innovative, agile working environment in the e-commerce sector with an impact on champions as well as hidden champions? Then you have come to the right place! Become a pioneer of digital transformation and support our fantastic team as a MACHINE LEARNING ENGINEER. YOUR TASKS Train, evaluate and scale machine learning models.Integrate intelligent models for different services in enterprise infrastructures.Work in an environment with state-of-the-art technologies and frameworks to provide scalable, cost-effective and flexible high-quality solutions to our customers.

YOUR MISSION Shape the vision of Hypatos AI products, based on Deep Learning technologyFacilitate the Machine Learning and Engineering teams to manage uncertainties in the innovative technological area based on the anticipated customer needsRepresent the voice of end customers for data scientists and Machine Learning engineers, data factory, and product delivery team Prioritize among multiple projects and working tasks while working closely with cross-functional stakeholders, esp. product delivery, application development, and system engineering/DevOpsBuild a product portfolio and maintain product roadmaps Plan product components development, that includes providing API, integration with user-facing part of the solutionDefine use cases based on the customer journey and business needsEnsure delivered product features will provide optimal business valueYOUR PROFILE

Many of the challenges of renewable energy revolve around different kinds of time series forecasting. How much energy will a solar plant produce during a given window of time? How much will a particular consumer require? How can we resolve discrepancies between the two in a cost-effective way? As part of our data science team you will research cutting edge, scalable machine-learning solutions to challenges like these, with a strong focus on driving improvements directly to production systems.

Helmholtz-Zentrum Hereon The Helmholtz-Zentrum Hereon conducts cutting-edge international research for a changing world: Around 1,100 employees contribute to the tackling of climate change, the sustainable use of the world’s coastal systems and the resource-compatible enhancement of the quality of life. From fundamental research to practical applications, the interdisciplinary research spectrum covers a unique range. Institute of Materials Physics The Institute of Materials Physics operates instruments on large-scale equipment for structural investigations of materials and works on the development and characterization of novel light­weight materials for high-temperature applications, for example in aircraft turbines and automotive engines.

The Westwing mission is to inspire and make every home a beautiful home. We are on a quest to bring the wonders of eCommerce for home & living to our more than 1.5 million active customers in 11 countries. In only 9 years on the market, we have grown to more than 500 million Euros Gross Merchandise Volume annually. More importantly, the opportunity ahead of us is massive.The Westwing team is the secret to our success.

With us you support large and medium-sized companies from all over Switzerland in designing their data universe. Together with our customers, you will design a data science portfolio in order to be able to extract the maximum value from the data assets. You develop scalable ETL pipelines and data lake or data warehouse architectures based on the Google Cloud Platform. You will support customers in evaluations and in the development of creative, data-driven specialist applications and tailor-made reporting solutions.

Changing the future of payments takes strong personalitiesDo you see the power in data and have you had plenty of hands-on experience analysing and abstracting insights from data? Have you worked with data technologies, are you curious, innovative and take pleasure in picking up new data tools and methods? Do you want to be part of leading Machine Learning services in production? Skills, ambition and that little personal twist make you succeed We are looking for a Data Scientist// Machine Learning Data Engineer to an exciting position in the Data Analytics and Services department in Risk Management Service Area at Nets working in one of these countries: Denmark, Norway, Finland, Germany or Croatia.

As a BI team lead you will be responsible for the entire data strategy of adjoe. You will have access to state of the art technology and work closely with all business stakeholders to implement new approaches on how to leverage our data assets with new algorithms and ideas. In addition you will form and grow a new team.Adjoe is a startup developing a disruptive mobile ad solution that helps app publishers all over the globe to generate more ad revenue.

The Role and your Impact at TIER Implement and optimize ML models and algorithms for productionBuild and maintain the infrastructure and deployment pipelines for ML models and algorithmsCollaborate closely with a team of Data ScientistsCreate, run and manage multiple backend services and APIs that support new and existing product capabilitiesAutonomously choose and select the best fitting technologies for the jobEnable TIER to get the maximum potential out of our dataYou’ll fit great with these Skills and Qualifications

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps.

We here at plista are looking for a new Data Scientist (m/f/d) to join our team. The data science team handles our internal and external clients’ data needs, builds machine learning services and develops our content recommendation engine. We are looking for a colleague that has a deep understanding of the methods and methodologies involved in machine learning, has the knowledge to build systems on a global scale in the cloud and is not shy to bring their own ideas and projects toimprove our current state of the art.

Want to be a hero? - Join the #1 Global Leader in online food ordering and delivery! We are looking for Senior Data Scientists(f/m/d) to join our “Quick Commerce” team. Contribute to the creation of our next generation platform, that works on expanding our amazing delivery to new products such as groceries, pharmaceuticals, flowers and more. Work on Delivery Hero’s catalog management, campaign management, ad-serving/ad-booking systems. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure and data, an international workplace is waiting for you in the heart of Berlin!

At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It’s a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide.

The Invia Group is a pan-European market leader in online travel sales and brings together leading travel portals in Europe under one roof. From package holidays to tailored tours, from business trips to family breaks, our offers for tourists serve a wide range of target groups. Among others, it operates the portals fluege.de and ab-in-den-urlaub.de.We are looking for open minded and creative people dedicated to help our customers reach their travel destinations. Transparency and collaboration in a healthy work environment is what we believe to be a major foundation of our success.

The Opportunity Ever been frustrated with business and tech not understanding each other? We believe this friction can be minimized, using data insights. TechMiners’ solutions enable both tech and non-tech roles (like CEOs and investors) to make decisions that normally require deep technical skills and lengthy analysis. Our unique software product turns insights from tech data into actionable advice, transparency and ultimately trust; independently of the stakeholders’ level of technology understanding.

Als Machine Learning Engineer bist Du an der Schnittstelle zwischen KI und Suche und verbindest unsere ML und NLP Forschung mit neuester Suchtechnologie, um so eine neue Stufe der Informationsversorgung unserer Kunden zu erreichen. Deine Aufgaben Du entwickelst ein Verständnis für datenbezogene Problemstellungen in unterschiedlichsten Branchen und erarbeitest Lösungskonzepte in enger Zusammenarbeit mit unseren KundenDu bist Teil bei der Konzeption, Entwicklung und Optimierung von Algorithmen und Anwendungen mit Schwerpunkt auf Natural Language Processing (NLP) und Machine Learning (ML)Du entwirfst und Implementierst Prototypen in einem agilen EntwicklungsprozessGemeinsam mit Deinem Team arbeitest Du an Beratungs- und Umsetzungsprojekten zur Unterstützung der digitalenTransformation vorrangig mittelständiger Unternehmen durch Auswertung von Text und DatenDein Profil

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 join the Competitive Intelligence team to help analyze complex data sets, build meaningful data products and bring to light valuable insights relevant across Delivery Hero’s markets. If you’re a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!

Mission Als Teil unseres Machine Learning Teams hilfst du uns dabei, unsere Daten nutzbar zu machen und Studierende und Unternehmen mithilfe intelligenter Systeme noch besser zueinander zu bringen.  Du konzeptionierst und implementierst gemeinsam mit deinem Scrum-Team Machine-Learning-Systeme und -Prozesse und bindest sie in unsere Softwareprodukte ein. Dabei arbeitet ihr eng mit unseren weiteren Teams zusammen. Du baust Machine-Learning-Technologien auf – unter anderem im Bereich Automated Planning, Recommender Systems und intelligente Suchen.

Data driven decisions. Data informed management. “Data” and all related efforts around it has moved from being “another buzzword” into becoming an essential part of the most successful corporations.  Signavio’s  data insights team aims to provide reliable quality data, tools and services to stakeholders both from inside the engineering department as well as from the outside (e.g. C Suite), enabling them to better understand our users, products & processes. This is a cornerstone to track the progress on our goals, to shed light on business relevant information, to discover areas that need improvement, and to enable data driven decision making throughout the whole organisation.