As a Data Engineer at QuantCo, you will integrate our clients’ technical systems with our industry-leading statistical and machine learning models. You will work alongside our data scientists, economists, and software engineers to solve technical and quantitative challenges ensuring that our solutions produce value for our clients. To achieve this, you will own the entire software development process from high-level system design and prototyping to application development and data integration. You will contribute to our data pipelines with your expertise in scalable data-driven systems.

As part of our tech team, you will build software to help our customers combat one of the biggest problems of our society: food waste. With this goal in mind, you will focus on developing and improving our demand forecasting pipeline. We offer you a visionary, innovative environment and give you the support and tools you need to succeed. In our fast growing team there is plenty of room for personal development.

Deine Mission Du bist Teil unseres Data Teams und arbeitest darüber hinaus mit Kolleg*innen aus verschiedenen Business-Bereichen zusammen, um datengetriebene Entscheidungen zu unterstützen. Beim Thema Business Intelligence generierst du aus unstrukturierten Daten Erkenntnisse. Du erstellst Reports und Dashboards zur Visualisierung der Entwicklung relevanter KPIs. Du führst Detailanalysen durch, die uns helfen, unsere Kund*innen besser zu verstehen. Du bist am Aufbau einer entsprechenden Datenstruktur beteiligt und übernimmst dabei Aufgaben wie die Datenaufbereitung und -modellierung bis hin zur Ableitung von Handlungsempfehlungen.

Mission As a ML Engineer in the engineering department, you will be working on our key business challenges. The solutions you provide will have a large impact on our success and on our partners’ success. Understanding the buying data from millions of customers is something you love and predicting their best fitting product is your Christmas. And using the latest technologies to normalise product data as well as finding a way to automise data queries is your dream job.

Motius ist ein Forschungs- und Entwicklungsunternehmen mit einer einzigartigen Organisationsstruktur: wir kombinieren ein festes Kernteam (ca. 70 Mitarbeiter) mit einer interdisziplinären Tech-Community (ca. 800 Mitglieder) von Softwareentwicklern, Ingenieuren, Designern und Elektrotechnikern und bauen so Produkte und Prototypen in den neuesten Technologiebereichen (u.a. A.I., Blockchain, AR/VR und vieles mehr). Unser Core Team ist das Rückgrat des Unternehmens und verantwortlich dafür, dass wir sowohl auf technischer als auch auf Business Seite wachsen. Wenn deine aktuelle Berufsbezeichnung Deep Learning Consultant, Machine Learning Consultant, Technical Product Manager oder Product Owner ist, solltest du weiterlesen.

Motius is a research and development company with a unique organizational structure: we combine a solid core team (approximately 70 employees) with an interdisciplinary tech community (approximately 800 members) of software developers, engineers, designers and electrical engineers to build products and prototypes the latest technology areas (including App/Web, A.I., Blockchain, AR / VR and much more). As Senior Deep Learning Engineer you’re part of our A.I. Cluster and join our diverse R&D projects (each ~3-9 months duration) in small and agile teams as Lead Engineer.

Why just look on if you can help us to move on? Our team is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge? Well, don’t just look on, jump on. Your tasks: You understand data science better than a software engineer and software engineering better than a data scientist.

Your passion: data, AI and ML. Our goal: transforming Fin into Tech. Your future team, staffed with 15 experts, pursues this goal every day – by working on interdisciplinary projects and applying AI know-how to a range of possible application domains. You value international exchange at the highest level, think outside the box and enjoy sharing your knowledge? So do we! Join ING and stay one step ahead. Your Tasks:

Your passion: data, AI and ML. Our goal: transforming Fin into Tech. Your future team, staffed with 15 experts, pursues this goal every day – by working on interdisciplinary projects and applying AI know-how to a range of possible application domains. You value international exchange at the highest level, think outside the box and enjoy sharing your knowledge? So do we! Join ING and stay one step ahead. Your Tasks:

Why just look on if you can help us to move on? Our team is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge? Well, don’t just look on, jump on. Your tasks: You understand data science better than a software engineer and software engineering better than a data scientist.

Automating machine operation in manufacturing requires extensive data analysis. Our technology extracts up to 15 GB of structured manufacturing data per day and per machine. Your task will be to build algorithms that are reproducible for different types of machinery for typical errors and will detect relevant anomalies within the data. A couple boxes to tick: Passionate about Data Science and extracting valuable insights out of complex data structures.You have experience in the data science project lifecycle, from data exploration, data cleaning, and feature engineering to building and tuning models.

As part of our Business Intelligence Team you will support us in developing and optimizing our pricing algorithm in times of sales campaigns & seasonal price reductions. Every day, millions of people all over Europe enjoy shopping at our online shop & enjoy getting inspiration for brand new styles – even better if there’s a nice sale campaign running!  Our goal is to determine the most intelligent price based on various variables and business models.

About us StackFuel is Germany’s first provider of practical online training courses in the field of data analytics and data science. Within the context of the widespread digital transformations that are taking place, Stackfuel prepares large corporations, medium-sized companies and start-ups to make sure that they are able to work effectively in a data-driven working environment. For this, the StackFuel team relies on the cloud-based training environment Data Lab, the award-winning training environment that has been developed in-house by Stackfuel.

About the Demand Prediction Team In virtually every part of our products we rely on using data to invent and improve. You will work in a highly skilled cross functional team of Data Engineers, Data Analysts, and Data Scientists responsible for turning data into knowledge needed for our success. Your team estimates on future demand and enables the teams around shift planning, pricing, fleet supply, routing and others to make MOIA successful.

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 9.5 million users and 50,000 five-star reviews - komoot is on its way to become one of the most popular cycling and hiking apps.

At Blue Yonder, we employ state-of-the-art machine learning algorithms to generate hundreds of millions of microdecisions for large retail enterprises every day. Full automation allows us to shape supply chains and set selling prices such that customers never face empty shelves, less groceries go to waste, and fashion stores no longer end up with heaps of surplus clothes at the end of season. Our retail products run on the Blue Yonder platform that provides all necessary services to deliver best decisions to our customers.

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 9.5 million users and 50,000 five-star reviews - komoot is on its way to become one of the most popular cycling and hiking apps.

Data Science Manager (m/f/x) HelloFresh At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week. We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.

Data Science Manager (m/f/x) HelloFresh At HelloFresh, our mission is to change the way people eat - forever. From our 2011 founding in Europe’s vibrant tech hub Berlin, we’ve become the global market leader in the meal kit sector and inspire millions of energised home cooks across the globe every week. We offer our meal kit boxes full of exciting recipes and thoughtfully sourced, fresh ingredients in more than 10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam.

Why just look on if you can help us to move on? Our ING Analytics Hub is staffed with 15 highly qualified experts who work on interdisciplinary projects, transforming Fin into Tech. You value international exchange at the highest level, are keen to think ahead or outside the box and enjoy sharing your knowledge productively? Well, don‘t just look on, jump on. Your tasks: Machine learning, Spark & Big Data, software engineering – these are the topics you like digging into, passionately pursuing trends & technologies to introduce into your team.