Our vision at Freeletics is to challenge and inspire people around the world to become the greatest version of themselves, both physically and mentally. We build products and experiences that improve people’s lives through physical exercise, nutrition guidance and education. By doing this, we have created a unique and passionate community of over 39 million users worldwide, who all want to change their lifestyle for the better. By combining sports science, AI technology and long-term behavior change, we are creating a truly unique movement in the health and fitness space

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.

As an engaged and application-oriented data engineer, you will implement a state-of-the-art biotech software concentrating on data repository andcollaborative analytics functionalities at mid- to large biotech companies. You will leverage their current data infrastructure and align with Exputec’s architecture in order to successfully deploy the software to the customer. Prinfiple Roles & Responsibilities Assist clients with the installation of the inCyght software on their Linux and Windows-based IT infrastructure. This may proceed via SSH access, web-conference, remote desktop, or on-site visit.

Job ID: 186012 Ort: Muenchen Organisation: Digital Industries Art der Anstellung: Permanent / Full-timeDie IT-Welt neu denken.Wir haben viele Ideen, wie wir die Digitalisierung in Unternehmen erfolgreich vorantreiben können. Etwa durch offene Cloud-Plattformen, hochentwickelte Sicherheitssysteme oder clevere Werkzeuge für Entwickler. Ihre Rolle dabei? Werden Sie mit Ihrem IT-Know-how und Ihrer Begeisterung für wegweisende Informationstechnologien zu einem Welt-hinter-den-Kulissen-Beweger. Denken Sie IT einfach anders und lenken Sie Projekte in völlig neue Richtungen. Zeigen Sie dort Mut, wo andere längst aufgeben würden.

Data Engineer Stack PostgreSQL , ElasticSearch, AWS DynamoDB, Python If you are looking to have an impact on the world then read carefully because at Choco we are moving mountains to transition the world into sustainable food systems. The food industry is one of the oldest and largest industries that exists. It’s an industry with essential problems, especially regarding the food supply chain.  We are leveraging technology to bring change and start the necessary transformation the industry is craving for.

Homegate is the leading digital real estate classifieds platform in Switzerland, with more than 8 million visits per month and more than 100’000 properties currently on offer. Our mission is to empower Switzerland’s decisions around real estate. We help people find their best place to live and support them throughout their journey. Do you want to become a part of a company with a strong mission and an open-minded work culture?

Smaato’s Data Science team is looking for a Senior Data Scientist who is experienced in building intelligent systems and cloud based machine learning solutions using a data volume that easily reaches a multi terabyte scale. Why? Our cutting edge platform is processing an average of 20 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners, which results into more than 12 terabytes of data running on our platform each day.

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.

The missionThe web was created by scientists and for scientists, to foster scientific collaboration and drive progress for a better world. Join our team to take the web back to its roots and achieve that original mission.We’re a passionate team of pragmatic optimists from around the world and from many different backgrounds. Together, we focus on building great products that change the way scientists communicate for the better.We love what we do.

Your Tasks – Paint the world green You will be part of a self-organized, cross-functional team in the marketing domainYou will work with your team to decide on and improve the data architecture (from data extraction, preprocessing, and isolation) to support the Marketing Intelligence projectsYou will ensure that more than 100 employees in the Marketing Department can monitor their campaign performance on a daily level by providing the right data in the right wayYou will support the team to productionize data-intensive products rapidly, exploring new steering methods and testing them in a production environment in quick cyclesYou will work with business and technology stakeholders to evaluate data sources, techniques, and tools teams on solutions for data-driven decision makingYour Profile – Ready to hop on board

Möchtest du verantwortungsvolle Aufgaben übernehmen? Aufbereitung, Management und Analyse von Daten in einer Big Data UmgebungWeiterentwicklung des Daten-Analyse-FrameworksDaten-Analyse inkl. Qualitätssicherung mit Standard- und KI-AlgorithmenAbleitung von Anforderungen zur weiteren Verbesserung der AnalyseergebnisseEntwicklung von Prognose- und Pattern-Recognition-Modellen mit klassischen undMachine-Learning-MethodenIntensive Zusammenarbeit mit SoftwareimplementierungDein Profil Erfolgreich abgeschlossenes Studium der Informatik, Mathematik, Physik oder vergleichbarer FachrichtungSehr gute Kenntnisse von PythonErfahrung in der Analyse komplexer DatenSehr gute Kenntnisse der Library pandas, sowie der Machine Learning Frameworks TensorFlow, Scikit-Learn und SciPySehr gute SQL-Kenntnisse, Django ORM-Kenntnisse wünschenswertSehr gute Kommunikationsfähigkeiten – du wirst im intensiven Austausch mit den Domänen-Fachexperten stehen und Verbesserungen umsetzenAusgeprägte analytische FähigkeitenGute Deutsch- und Englisch-Kenntnisse Link: https://www.

We (de)code insurance. Sei dabei in Hamburg und Köln! Sie sind ein Allrounder, kennen sich mit Anforderungen von Datenprozessen aus und können Datenmengen skalieren? Wir denken Versicherung neu, helfen Sie uns dabei! Ihre neuen Aufgaben: Analysieren, ent­wickeln und warten komplexer Daten­ströme und DateninfrastrukturDatenmodellierung für Auswertungen und Gestaltung über­greifender Daten­architekturErstellung von Datenmodellen zur standardisierten Analyse von DatenPerformance Optimierung durch Anpassung von Abfragen oder DatenbankstrukturenVertesten der Datenmodelle mit A/B-TestsWas Sie mitbringen: Abgeschlossenes Studium im Bereich Informatik, Wirtschaftsinformatik oder eines vergleichbaren StudiengangesFundierte Kenntnisse in SQL und Python o.

IMAGINE - What you will work on: Our Transportation Infrastructure Technologies Competence Unit (https://www.ait.ac.at/en/research-topics/road-condition-monitoring-assessments/ ) is at the forefront of technology development, for example on the subject of road condition assessment. Our fleet of measuring vehicles, like The RoadSTAR is a mobile laboratory that provides accurate and objective data on the condition of road surfaces (motorway surfaces).You will be part of an multidisciplinary expert team and you will be responsible for the development of the software for the measurement and monitoring systems and you will conduct in-depth data analyses.

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.

Imagine a workplace which encourages you to take on responsibility and where your ideas will be heard and implemented. Imagine a fast paced environment where your performance makes the difference. This is TrustYou!We are looking for adventurers to join our smart and inspiring team!TrustYou creates summaries of hotel reviews, with the goal of being as useful, or more, than a summary written by humans. And it’s our data engineers that make this happen!

We are looking for an experienced Product Analyst to glean insights from customer-content interactions and define attribution models. As a part of the Content Composition team, you will make customer engagement measurable and optimizable. WHERE YOUR EXPERTISE IS NEEDED Define attribution models, dive deep into Zalando’s massive data to interpret customer engagement, understand the driver tree and identify proxy KPIsDraw insights from the complex interaction of content, customers, and Zalando’s business, analyze A/B tests, provide (analytical) justifications for why we do certain thingsWork closely with the data scientists and engineers on your team to help them optimize the algorithms they buildHelp stakeholders understand why their content is (or isn’t) successful in front of the customerWHAT WE’RE LOOKING FOR

As the Data Management area at idealo, we are building a cutting-edge, cloud-based data platform suitable for self-service analytics as well as for machine learning, data products, and our enterprise reporting. We believe that a>About your new role Develop and operationalize machine learning modelsSupport our product development teams in solving specific product problems using machine learningImplement>Skills & RequirementsYou have demonstrated your passion for machine learning, analytics, and statistics in previous projectsYou can prove strong hands-on experience with programming in Python (experience with the PyData stack is a plus)You have worked with distributed computing frameworks and deep learning algorithms (feed-forward, CNNs, RNNs) and cloud servicesYou have a solid understanding of good practices in software engineering, like pair programming, testing, clean codeYou are fluent in EnglishAt idealo you can expect

Data Science Manager (m/f/x) Berlin 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.

Willkommen beim DLR! Unser Institut für Instandhaltung und Modifikation in Hamburg sucht eine/n Informatiker/in oder Datenwissenschaftler/in für die Entwicklung von Architekturen, Software, Betriebs- und Datenmanagementkonzepten für digitale Zwillinge Ihre Mission: Ein wesentliches Element bei Optimierung von Wartungs- und Instandhaltungsprozessen für Luftfahrzeuge ist deren Abbildung durch einen Digitalen Zwilling. Dieser verknüpft alle zugehörigen Daten, stellt sie für Analysen bereit und bildet somit den individuellen Ist-Zustand eines Systems über dessen gesamten Lebenszyklus ab.

Weshalb zuschauen, wenn man auch mitgestalten kann? In unserem ING Analytics Hub arbeiten 15 hochqualifizierte Köpfe an interdisziplinären Analytics-Projekten und verwandeln Fin in Tech. Sie schätzen internationalen Austausch auf höchstem Niveau, denken begeistert vor und quer und lieben es, Ihr Wissen produktiv weiterzugeben? Jump on. Ihre Aufgaben Software Development, Machine Learning, Spark & Big Data – das sind die Themen, in die Sie sich eingraben, in denen Sie Trends & Technologien nicht nur konsequent verfolgen, sondern auch im Team lancieren.