We are a Digital Health Startup in the heart of Munich. Our mission is to improve the quality of life of our users. With our mobile apps we accompany patients on their individual health path and help them to achieve the best possible therapy results. WHAT YOU WILL BE DOING Build and Deploy Data Pipelines on to enable AI & ML capabilitiesDrive the development of cloud-based and hybrid data storage & business intelligence platformsBuild Data Pipelines to ingest structured and unstructured DataGain hands-on experience with new data platforms and programming languagesWHAT YOU WILL BRING TO THE TABLE

Our Vision We want to establish pre-loved fashion as an integral part of everyday life and thus change nothing less than the world. We’re looking for a senior data scientist to help us bring potential seller and buyer to Mädchenflohmarkt and connect them to actionable content that improves their experience. You’ll apply quantitative analysis, modeling and data mining to deeply understand user behavior and engagement patterns so we can build the most compelling and engaging product experiences for our customer.

Would you like to put your theoretical knowledge into practice? Would you like to work in a certain timeframe to keep deadlines? We develop agile and have fun at work! YOUR RESPONSIBILITIES You cooperate closely with experienced colleaguesYou create business cases and competitor analyses You take care of project documentationsYou help to define the product strategy You support within the product developmentYou prototype and validate product ideas with for example r, shiny or pythonYOUR SKILLS AND QUALIFICATIONS

Job-ID: TP-S45-2502 Absolventen — Vollzeit Ludwigsburg Das bewegt Sie: Die Digitalisierung ermöglicht es uns Prozesse, die früher in immer gleichen Arbeitsschritten ausgeführt werden mussten, vollständig zu automatisieren. Das entlastet nicht nur, sondern ermöglicht auch sich neue Technologien anzueignen und spannenden Projekten zu widmen. Denn wer erledigt schon gerne Routinearbeiten? Da sich auf den ersten Blick nicht jede Aufgabe von einem Computer bewältigen lässt, sind kreative Köpfe mit Forschergeist gefragt. Zu Ihrer Aufgabe zählt es in Absprache mit dem Team Automatisierungspotentiale zu identifizieren und in Software zu überführen.

To further our growth, we’re looking for a Data Scientist who will be responsible for the design, implementation and automation of new algorithms for predictive analytics and recommender systems for Mapp Intelligence which is designed to process more than 350 TB raw data and up to 60k requests/sec.Understand and expand a thrilling tech stack for fully automated marketingAnalyze, improve, and design production ready Machine Learning model generators and feature extraction systemsBe responsible for the continuous optimization of data input and model outputApply Data Mining, Predictive Analytics, Machine Learning, & and Big Data TechnologiesThe assets you bring to the team:PhD or Master’s Degree in Mathematics, Statistics, Physics or InformaticsCommercial or industrial experience as Data Scientist or Mathematical ProgrammerProfessional experience in at least two relevant languages (Java, Scala, Python)Deep knowledge of SQL and Big Data TechnologiesExperience in mathematical programming (like Matlab, Python, R)Independent, committed, pragmatic, but also a good team playerFluent in English, German a plusWe offer:Prospect: We are a continuously growing team with experts in the most future-oriented fields of customer intelligence.

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.

Welcome at DLR. Our Institute of Transportation Systems in Berlin wishes to employ a Data Scientist, Physicist, Mathematician, Geophysicist or similar for the Condition monitoring and predictive maintenance of transport infrastructure.  Your mission: Mobility has a high priority in our society. People want to reach their destination safely, comfortably and quickly. Goods must be transported cost-effectively over short and long distances. The consequences of mobility can be seen in environmental pollution, accidents and traffic jams, which increase with the ever-growing volume of traffic.

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

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 we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.

Was Dich antreibt: Du bist analytisch, verstehst digitale Wertschöpfungsketten und kannst auf Basis von Digital-Analytics Daten Optimierungs- und Weiterentwicklungs-Ideen und Konzepte erarbeiten? Du möchtest mit uns effektive und nachhaltige Online-Projekte und Geschäftsmodelle verwirklichen? Du willst am Puls der Zeit arbeiten und die neuesten Entwicklungen der digitalen Analyse mitgestalten? Dann bist Du im Competence Field Data & Analytics der TWT Interactive genau richtig! Was die Aufgabe ausmacht: Eigenständige Vorbereitung, Durchführung und Nachbereitung von Schulungen sowie Anforderungs- und KPI WorkshopsÜbersetzung der Business Anforderungen unserer Kunden in Tracking- und TaggingkonzepteEinrichtung und Weiterentwicklung der gängigen Analyse-Tools unserer Kunden auf einem technisch und analytisch anspruchsvollen LevelEntwicklung von KPI- und Visualisierungs-Konzepten zur Integration der Daten in die unternehmerischen EntscheidungsprozesseAnalyse und Monitoring unserer Kunden-Webseiten und Apps sowie Ableitung von konkreten HandlungsempfehlungenÜberwachung und Optimierung von Online-Marketing-Maßnahmen unter ROI- und Performance-Gesichtspunkten insbesondere hinsichtlich der Conversion und User ExperienceManagementgerechte Aufbereitung, Präsentation, Erläuterung und Interpretation von Analyseergebnissen in Form von aussagekräftigen Digital Analytics Berichten und Executiv SummeriesEinführung und Konzeption von Dashboard- und Reporting-LösungenEntwicklung von Testszenarien (A/B & multivariate Tests) und Aufbereitung der TestergebnisseFachliche Unterstützung der Teammitglieder bei komplexen AufgabenstellungenZusammenarbeit mit der Software-Entwicklung, z.

ABOUT THE TEAM Department: Supply & Demand Reports to: Engineering Lead Team Size: <8 Location: Berlin, Germany Pricing & Forecasting is at the core of our commercial operation. Our tools help to determine how much of each product to buy, to recommend the best prices for these products, and to ensure that we have the right level of logistics capacity to fulfill our customers demand. The Pricing and Forecasting team uses cutting edge technology, data science and machine learning to forecast demand and pricing with a focus on business and customer experience.

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.

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.

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

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 data-driven approach is a key success factor for our business. Therefore we aim to enable our technical and non-technical internal customers to base their everyday business decisions on hypotheses that are proved by data. We are looking for a Data Scientist highly passionate about developing and operationalizing machine learning models.

Hawk:AI are a state of the art tech AI in the cloud start-up working within their chosen niche of money laundering prevention. Their product/platform’s target market is banks and is highly innovative, running off the best tech in the market today.  Due to the success and interest within their product, they’re are now expanding and are looking for a Data Scientist/Engineer to join their ambitious and highly talented team. All tasks will be relevant to data science; data models etc however, working in this start-up will also give you the chance of overlapping and learning (hands on); more technologies than just the ones you’ll be working on.

At Saloodo! we are looking for an experienced Data Scientist to join our rapidly growing dynamic Data & AI team and help us building the future of digital logistics. Transportation is all about efficiency, high performance, reliability and commitment. A perfect world to disrupt with data and technology-driven business models. Jump on board and let’s form the future world of logistics together! Your Responsibilities Being pro-active in applying and developing state-of-the-art and innovative machine learning/artificial intelligence technologies to pursue the vision and mission of Saloodo!

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 ab-in-den-urlaub.de, Hotelreservierung.de, fluege.de and Reisen.de. The virtual tour operator tourini organises package tours, which are offered via its own website and exclusively on the Group’s portals.

Was Du mitbringst Du studierst Wirtschaftsinformatik oder BetriebswirtschaftslehreIdealerweise liegt dein Schwerpunkt auf Data Science, Business Analytics, Machine Learning oder Big Data ManagementEine Ausgeprägtes Interesse zu Tools wie beispielsweise MS Excel, MS Access, MySQL sowie PIM-, ERP- & SHOP-Systeme ist dein MarkenzeichenDu arbeitest analytisch, präzise und verbindlich, auch bei einem hohen ArbeitsaufkommenDeine kooperative Ader kombiniert mit einer gesunden Prise Humor machen dich zum geborenen TeamplayerSehr gute Deutschkenntnisse in Wort und SchriftWas Du machen wirst