117 Data Management jobs

Wir glauben daran, dass die Zukunft denen gehört, die Innovation antreiben, die Wandel gestalten und die durch Zusammenarbeit vernetzen. Darum verbindet Modis die Schlüsseltechnologien IT, Engineering und Life Sciences, um gemeinsam mit unseren Kunden die Lösungen der Zukunft zu entwickeln. Wir bringen auf der ganzen Welt Top-Unternehmen mit den klügsten Köpfen in der IT zusammen. Sie alle brennen dafür, ihre Talente für die herausforderndsten Aufgaben von heute und morgen einzusetzen. Du auch? Dann suchen wir Dich für eine befristete Mitarbeit an einem Projekt unseres Kunden. Deine Aufgaben: Beratung zum Thema Recommendations, Problem Space und Lösungen enumerieren Danach: Verifizierung aktueller Ansätze, Bau eines ersten Modells in Produktion, langfristige Beratung thematisch, sowie Hilfe bei Aufstellung eines festen Teams. Deine Erfahrung: Sehr gut in Python Mischung von Data Scientist und Engineer Deine Skills: Sehr guter Kommunikator, schnell im Kopf High-level Beratung Schnelles, iteratives Arbeiten Gewünschte Skills: Pytorch TensorFlow Fast.AI Spark MLLib Erfahrungen mit Collaborative Filtering und Content Based Recommendation Für uns beginnt der gemeinsame Weg damit, Deine Ambitionen zu verstehen. Zusammen arbeiten wir daran, Dich an Dein berufliches Ziel zu bringen - indem wir in Deine berufliche Entwicklung und Mentoring investieren und Dich während Deiner gesamten Karriere coachen. Bei Modis arbeitest Du für eine dynamische, global ausgerichtete Marke, die in einem Schlüsselmarkt ambitionierte Ziele verfolgt. Unsere Zugehörigkeit zur Adecco Gruppe ermöglicht Dir vielfältige Wege. Du kannst es kaum erwarten, uns kennenzulernen? Dann klick' für den direkten Weg zu uns auf den Button "JETZT BEWERBEN"

Klarna’s mission is to free people from all the meaningless time spent managing money and purchases, so they can do more of what they love. Every day at Klarna we help consumers, merchants, and partners to explore just how smoooth the modern purchase experience can be. Our position at the crossroads of payments, consumer financing, ecommerce and banking means we are uniquely positioned to do this. There is no label for what we do.  Klarna was born in Stockholm in 2005 and today has 2000 employees working across Europe and the US. We currently serve 60 million consumers, work together with 90,000 merchants and process more than a million payment transactions a day. We are growing at 40% year on year and our investors include Visa, Atomico, Sequoia Capital, Permira and Bestseller group/ Anders Holsch Povlsen. We have strong partnerships with some of the world’s leading brands, such as ASOS, IKEA, Adidas, Zara, Lufthansa and Spotify.  To find out more about what it's like to work at Klarna:  klarna.com/careers Klarna strives to become the world’s favourite way to buy, and you can contribute to reaching this goal! We are looking to hire great people, who are passionate about using their talents to generate success. Data science is no exception! We are currently looking to grow our Data Science teams to satisfy the company’s ever increasing need for complex problem solving and data driven decision making. What you will do Data science at Klarna delivers value in several areas in the organisation. However, there is of course one thing in common for all of them - they consist of highly driven people with a combination of analytical skills and a great team spirit! Use machine learning to solve problems Work with SQL,R and or Python Analyse data with the end goal of detecting trends and make recommendations Design and implement strategies in a rapidly evolving industry Pro-actively and effectively communicate with various stakeholders, discussing the root cause of trends, assessing their impact and propose solutions/optimisations Support wider business objectives by providing analytical expertise on new products and system developments and collaborating closely with Commercial, Product, Engineering and other teams where relevant Develop as a professional in an entrepreneurial organisation that provides opportunity to work with your areas of interest Be involved in the whole process of model development. This includes everything from root cause analysis, data-mining and feature engineering to training, validating and implementing machine learning models, computing performance statistics and conducting A/B-tests Work closely with several engineering teams and business analysts to find new smart ways of consolidating data and making use of it in order to make better models and ultimately better predictions. Who you are Klarna is looking for ambitious people with significant drive! You should be passionate about your job and enjoy a fast paced international working environment. You will play an important role in taking Klarna to the next level thus, you should desire to go above and beyond to produce best work results! At Klarna we embrace change, you should dare to challenge the status quo and be persistent. You should have A degree from a university in a highly technically numerate subject (e.g. Maths, Physics, Engineering or Economics) Applicable work experience Working proficiency and communication skills in verbal and written English. You might also have Successfully worked with large datasets to deliver business value Built and implemented machine learning models Strong conceptual ability Strong Data extraction and manipulation skills Some good coding skills (R, Python, C++ etc.) How to apply Send over a CV in English. We can offer you an international working environment filled with smart and ambitious colleagues. We know that diverse teams are strong teams, so we welcome those from different backgrounds and experiences. As part of one of Europe’s fastest growing companies, you'll help play an important role in taking Klarna to the next level.

Airbus is a global leader in aeronautics, space and related services. In 2017, it generated revenues of € 67 billion and employed a workforce of around 130,000. Airbus offers the most comprehensive range of passenger airliners from 100 to more than 600 seats. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as Europe’s number one space enterprise and the world’s second largest space business. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide. Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary – on the ground, in the sky and in space. Description of the job Für Airbus Defence and Space in Friedrichshafen suchen wir für den Bereich „Check-out Systems“ in der Abteilung „TESCG – FVI & Space Physics G" einen Development Engineer SW (w/m/d) - BIG DATA – Data Scientist/Analyst (d/m/w). Tasks & accountabilities Innerhalb der Organisation Space System Engineering ist der Geschäftsbereich Checkout Systems transnational für die Lieferung von Soft und Hardwaresystemen und Subsystemen (Prüfstände, Simulation, Datenbankumgebung, Datenmanagement im Orbit, Datenanalyse, digitale Kontinuität) verantwortlich. Um die Raumfahrtsystemtechnik von der Phase der Vorstudien bis zur Phase der Unterstützung von Satelliten & On-Ground-Systemen im Orbit zu unterstützen. Wir befinden uns in einer Wachstumsphase, da unser Leistungsspektrum sehr stark mit der digitalen Transformation von Engineering-Prozessen und -Methoden verbunden ist. Sie sind in der Lage sich in verschiedene technische Bereichen zu interagieren, um deren zugrunde liegenden Prozess zu verstehen Erarbeitung von mathematischen Lösungen Erarbeitung von Datenanalyselösungen durch die Entwicklung von Software Ihre Hauptaufgaben und Verantwortlichkeiten sind: Identifizierung und Verständnis der technischen Anwendungsfälle, die von Big Data-Technologien unterstützt werden sollen. Beschreibung neuer Datensätze, den Sie für effiziente Lösungen benötigen. Aufbau von Big Data, in kosteneffizienter Weise Schnelles Prototyping von Datenvisualisierungsanwendungen   Unterstützung der Anwender bei der Analyse der Ergebnisse, mit dem Ziel der Effizienzsteigerung Ergänzend zu dieser Tätigkeit werden Sie einem technischen Bereich zugeordnet, um operative End-to-End-Lösungen zu entwickeln und diese unseren Hauptakteuren bekannt gemacht. Die Bereitschaft für Dienstreisen setzen wir voraus. Für diese Stelle ist ein hohes Maß an Sensibilität bezüglich möglicher Compliance Risiken erforderlich. Integrität ist die Basis für den Erfolg, die Reputation und das nachhaltige Wachstums unseres Unternehmens Required skills Abgeschlossenes Hochschulstudium im Bereich System Engineering, SW Engineering, Functional Engineering, Mechanical /Thermal Engineering, Space Physics oder vergleichbare Qualifikation Sie verfügen über fundierte Kenntnisse in der deskriptiven Statistik (Clustering, Dimensionsreduktion, Verteilungsanpassung) und der Inferential-/Prädiktivstatistik (Machine Learning wie Neuronale Netze, SVM, Random-Forest) und wissen, wie man neue Datensätze schnell beschreibt.   Beherrschung digitaler Konzepte wie Digital Continuity, Data Analytics, Cloud, Data Lake/Artificial Intelligence   Sie haben Erfahrung in komplexen IT-Umgebungen (Remote Hadoop/Spark Cluster, Multiple Language Interfacing) und haben erste Erfahrungen in einem Web Development Framework (R/Shiny, Python/Bokeh), um schnell webbasierte Datenvisualisierungsanwendungen um Daten und Algorithmen zu prototypisieren. Kenntnisse im Bereich AGILE-Prozess, GIT-Versioning, sowie Test- und Dokumentationsframework Sie werden in operativen Forschungsmethoden (Graphentheorie, numerische Optimierung, Surrogatmodellierung) geschult, um Herausforderungen jenseits der Datenanalyse zu bewältigen, auch mit pragmatischen Lösungen (Spline-Modellierung, Dichotomieoptimierung). Sie sind neugierig und aufgeschlossen und verfügen über eine eigenständige Arbeitsweise.

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly. Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore. Job Description The Big Data Developer works on our SaaS platform, and  brings passionate inquisitiveness, primary research, and forward thinking to every assignment .   Through shared responsibility for all team deliverables, and communication with Product Owners as well as other stakeholders within the company, the Big Data Developer builds  software to pass automated acceptance tests and to deliver sprint commitments .   You can expect a very international team of Developers who are based in Hamburg. As part of our self-organizing Scrum teams you'd be structuring 2-weeks-sprints following iterative methods. Our team sizes vary between 4 and 7 Developers. The hierarchies are set efficiently and the management style can be called hands-off; in other words, you are trusted to manage your own work. Key responsibilities: Design, develop, deliver   and   operate scalable, high-performance, real-time data processing software. Work proactively on the system architecture. Participate in the evaluation and selection of right technologies.  Support the business and product stakeholders by developing new and innovative data driven products. Interact with UI/UX Engineer to develop innovative ways to visualize huge amounts of data. Collaboration with the product management team to incorporate the needs of our customers. Qualifications Several years of experience in big data technologies and tools. You enjoy operating your applications in production and strive to make on-calls obsolete. Bachelor degree in Computer Science or equivalent. Hands-on experience with one of the following technologies: Spark, Kafka, Druid, NoSQL-Databases. Familiarity with the AWS-Stack of advantage. Profound experience in programming with Java, Scala or a similar programming language. Knowledge and experience in statistics methods, machine learning and AI. Experience with relational database systems. Additional Information Perks of being a Smaatie Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate! Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities. Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options. The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent. A Buddy-Program offers new employees from abroad assistance for their start in a new country.