Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team and looking for a Senior Machine Learning Engineer (to lead our ML efforts and to join us in our journey towards building a great experience for our customers and solving some of the most complex problems in Online marketing and online paid advertising.

Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team in Zurich(Switzerland) and looking for a Software Engineer with applied Machine Learning experience to join us in our journey towards solving some of the most challenging problems in online paid advertising.

Your tasks - Paint the world green You are our truffle hunter, who quickly finds a way through complex datasets and recognizes opportunities to grow and to optimizeYou filter growth relevant information from our BI/tracking systems and convert complexity into simplicityYou analyze our data systems and algorithms for customer relationship management and customer behavior modeling; you solve our complex business challenges with creative insightsYou use statistical models to answer real-life questions like; “What are the effects of price changes and how to adjust marketing spend (e.

Senior Expert Machine Learning (m/w) (Köln) › OBI next Mit „OBI next“ am Standort Köln hat OBI als Nr. 1 unter den Bau- und Heimwerkermärkten eine innovative Geschäftseinheit gegründet und mit einer wichtigen Mission ausgestattet: die Transformation in ein neues, kundenzentrisches sowie kanalübergreifendes Geschäftsmodell. Dafür bietet OBI next ein einmaliges Arbeitsumfeld, in dem die Stärke eines Großkonzerns mit der Agilität und dem Spirit eines Startups kombiniert wird. Du entwickelst aus unseren Daten neue Produkte und stiftest dadurch Mehrwert für unsere Kunden.

To support our ambitious growth, we are now looking for a Principal Data Scientist (M/F/X) to join our team in Munich, Germany starting as soon as possible. Your Tasks – Paint the world green You work in our data science incubation team and help us to develop a decentralized data organization that implants quantitative decision making into our company’s DNAYou work alongside our product development and business unit analytics teams of individuals with diverse backgrounds and skills in analytics and data scienceYou will have the opportunity to directly influence strategic decisions by leading organizational level initiatives that drive scale, efficiency, and insight across our organizationYou collaborate with business and technology stakeholders to evaluate data sources, techniques, and tools to support our decentralized data science communityYou evolve FlixBus into a data-driven company by providing leadership and governance to a decentralized, company-wide data organizationYou consult and mentor data scientists, data engineers and data analysts to drive excellence in value generationYour Profile – Ready to hop on board

Do you strive to apply Machine Learning on real world challenges? Do you dream of translating your ideas into action? Ownership and self-responsibility don’t scare you off and you fancy complex algorithms? Come work with us! Celonis is one of the fastest growing tech companies worldwide. We are pioneers in process mining, an exciting big data technology, that breaks silos and enables companies to transform their business. Using our machine learning algorithms, our customers are enabled to get even more profound insights into their processes and acquire the information they long for to change the game.

Rasa is the leading open source machine learning toolkit. Our software lets developers expand bots beyond answering simple questions, via natural language understanding. SUMMARY We’re looking for extraordinary machine learning researchers to join us at Rasa. ABOUT THIS ROLE We don’t draw a hard line between our research and engineering teams, we all work on the same stack and share work, knowledge, and tools. The driver for our research is this: what would help developers build great conversational software?

Aufgaben Du führst spannende und herausfordernde Projekte durch und gestaltest zusammen mit unseren Kunden die Zukunft im Automotive und Manufacturing.Su begleitest Kundenprojekte von der ersten Idee, über Konzeption bis hin zur agilen und flexiblen RealisierungDu analysierst Geschäftsprozesse und deren Daten und entwickeln innovative Anwendungen und Lösungen für unsere Kunden in den oben genannten ThemenfeldernDu generierst aus großen un-/strukturierten Datenmengen relevante Informationen zur Optimierung der Geschäftsmodelle unserer KundenDu modellierst Geschäftsprozesse und fachlich/technische Designs mit besonderem Schwerpunkt auf die IT und Usability (UI/UX)Du steuerst Arbeitspakete und Module in erfolgskritischen IT-Umsetzungsprojekten und übernimmst ab dem ersten Tag im Projekt VerantwortungDu bereitest Kundenworkshops und Meetings vor und gestalten diese aktiv mitDu unterstützt aktiv das ProjektmanagementQualifikationen

Become the Sherlock Holmes of the web and help our clients to detect the fraudsters among their customers. In this never ending race, we are fighting the bad guys with technology! As a Data Engineer (m/f/d) at RISK IDENT, you will be working in one of our (FRIDA) product teams. You will help to develop the machine learning backend services for our products, written mainly in Scala. Based on a scalable platform for real-time data processing, insights and models are turned into the production code that forms the backbone of our fraud prevention solutions.

SUMMARY We’re looking for exceptional MSc & PhD students to join us as interns at Rasa. We’re open to full-time commitments of a few months. We’re an early stage startup, which means you’ll get experiences & responsibilities that you wouldn’t get interning anywhere else. ABOUT THIS ROLE The core of your role is designing, implementing, and training algorithms that drive conversational software, and furthering your skills working with an incredible team.

Who are we? Nanos is an online platform that makes placing paid advertisements a straightforward process accessible to any small & micro business around the world by delegating all the heavy lifting to our AI. We are a privately owned Swiss startup based in Zurich - a dynamic fast-growing team of software engineers, UX designers, machine learning developers and business experts. Who are we looking for? As part of our growth we are expanding our engineering team and looking for a Machine Learning Engineer (ML Engineer) to join us in our journey towards building a great experience for our customers and solving complex challenges.

Your role As Data Scientist you will have end-to-end ownership over all internal processes that enable data-driven decisions. You will make use of your technical expertise and deep analytical skills to evaluate and make sense of millions of data points gathered daily across three platforms. Your entrepreneurial mindset will allow you to help drive business decisions based on your findings. Your work day to day will involve managing and improving our data warehouse, driving the

To support our ambitious growth, we are now looking for a Data Scientist (m/f/x) in Munich starting as soon as possible.Your tasks - Paint the world green • Conducting research, developing machine learning prototypes and bringing them into production  • Supporting your product team in delivering business value – that is a team level responsibility. We call this responsibility Product First • Analyzing large and complex data sets  • Working closely with multiple levels of stakeholders 

About the team:  We are team Bus Factor, a cross-functional team of highly motivated data scientists and engineers. We are striving to solve highly challenging real-world problems that have an impact (and that are NOT related to marketing!). Our goal is to sell the right ticket at the right time to the right person for the right price to maximize revenue. We hold regular knowledge-sharing sessions for exchanging ideas about the latest technologies and organize bi-monthly HackrDays were we contribute to open source projects and innovative business initiatives.

Delivery Hero is building the next generation global online food-delivery platform.   We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.   We are looking for Data Scientists in different entry levels to join our central Data Science team in Berlin.

As an Engineering Lead  team at Zalando Payments you and your team build and operate production grade machine learning systems, focused on supervised learning, which have a profound impact on our business. WHERE YOUR EXPERTISE IS NEEDED Lead others through complex, distributed systems, and understand the principles of highly available, scalable, maintainable and performant servicesEncourage individuals to grow their skills and capabilities through discovering and following their passion and purposeFacilitate collaboration and decision-making between different engineering teams and stakeholders and drive projects towards the realization of company goals.

Your tasks: Develop, improve, test and deploy algorithms for parking spot detection with ParkHere sensors Be responsible for high detection rates and a robust system Work on the complete data science pipeline incl. Machine Learning Lead a team of Juniors/Working Students Your profile: You graduated in Mathematics in Data Science, Data Engineering and Analytics, Computer Science or similar You have gained a lot of data science experience in projects including Machine Learning You like to solve problems and directly contribute to the success of ParkHere

Wir suchen einen Data Scientist der bereits mehrjährige Erfahrung in folgenden Bereichen gesammelt hat: Machine & Deep Learning (R, Python, Keras, TensorFlow, Scala, …)Recommender SystemsZeitreihenanalysenStatstik & PricingNLP/TextminingData Engineering (Spark, SQL, tidyR, numpy, pandas, …)Konzeption von daten-getriebenen Produkten & LösungenProjektmanagementfließend in Deutsch (min. C1) und Englisch (min. B2)In der Rolle als Senior verstärkst du das Team auch durch Weitergaben von Know-How,Erfahrung in Konzeption & strukturiertem ArbeitenProjektleitung & Kundenkontakt,stetige Weiterentwicklung durch Besuch von Fachkonferenzenund Nutzung von e-Learning Plattformen (zB datacamp) Link: https://www.

Ref. No. 2372 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

Do what you love: You will be creating experiments based on exploratory analysis with our data in order to extract knowledge.You will analyse data in order to confirm or disprove hypotheses by the product owners.You will be building statistical and machine learning models for prediction and segmentation and be responsible for designing and visualising metrics, constantly looking beyond the numbers.You will be monitoring key product metrics and analysing the reasons they change.