Leidenschaft für Big Data, neue Technologien, agiles Mindset, Kreativität und Kommunikationsgeschick – erkennen Sie sich wieder? Perfekt! Dann sind Sie genau der oder die Richtige, um uns in puncto Data Foundation auf das nächste Level zu heben. Verstärken Sie unser Team!
Ihre Aufgaben
Sie fokussieren sich ganz auf den Aufbau und die Pflege unserer Data-Lake- & DWH-Plattform samt Frameworks und unterstützen unsere agilen Squads & Tribes bei der Definition der Daten-Qualitäts-Regeln sowie der korrekten Darstellung der Datenherkunft (Data Lineage).
Der Unternehmensbereich Health Services erforscht, entwickelt und betreibt das weltweit führende Telemedizinsystem für Herzschrittmacher-Patienten. Für interessante Aufgaben in unserem Data Warehouse suchen wir Sie.
Ihre Aufgaben
Spezifikation und Implementierung von Lösungen für das Datenmanagement im Bereich Health ServicesErstellung von Software-Designs mit modernen MethodenUnterstützung von Data Governance-Prozessen durch die Weiterentwicklung von SoftwareanwendungenQualitätssicherung mittels Tests, Verifikation und Validierung für interne Softwarelösungen im DatenmanagementIhr Profil
Abgeschlossenes Studium der Informatik, Mathematik, Statistik oder einer themenverwandten Fachrichtung mit ausgeprägtem IT-HintergrundErste Kenntnisse im Umgang mit Big Data Anwendungen im SQL-, NoSQL oder Cloud-UmfeldFreude an der Bearbeitung von herausfordernden Fragestellungen für Softwarelösungen im Bereich der MedizinprodukteGute Deutsch- und Englischkenntnisse in Wort und SchriftKennziffer: 27268
Informatiker / Softwareentwickler als Consultant Data Protection (m/w/d)
Die Haufe Group ist einer der deutschlandweit führenden Anbieter für digitale Arbeitsplatzlösungen und Dienstleistungen sowie im Bereich Aus- und Weiterbildung. Wir haben uns konsequent zu einem Spezialisten für digitale und webbasierte Services entwickelt. Unsere Unternehmensgruppe mit Hauptsitz in Freiburg beschäftigt rund 2.000 Mitarbeiter im In- und Ausland.
Für unseren Bereich Legal Compliance Data Privacy suchen wir zum 1. Januar 2020 am Standort Freiburg einen Informatiker / Softwareentwickler als Consultant Data Protection (m/w/d).
Die Haufe Group ist einer der deutschlandweit führenden Anbieter für digitale Arbeitsplatzlösungen und Dienstleistungen sowie im Bereich Aus- und Weiterbildung. Wir haben uns konsequent zu einem Spezialisten für digitale und webbasierte Services entwickelt. Unsere Unternehmensgruppe mit Hauptsitz in Freiburg beschäftigt rund 2.000 Mitarbeiter im In- und Ausland.
Unser Datenschutzteam sucht zum 1. Januar 2020 am Standort Freiburg einen Consultant Data Protection (m/w/d).
Ihre Aufgaben:Unterstützung des Konzerndatenschutz und der Datenschutzkoordinatoren in technischen FragenBeratung der Fachbereiche rund um Datenschutzthemen der Haufe GroupBeratung von Softwareentwicklern und Solutionarchitekten bzgl.
We are looking for a Senior Manager, Data Science (f/m/d) to join our Marketing Tech (Strategy Squad) team and help us attracting new customers, creating a personalised experience for our existing customers and driving the business with data-driven insights. You will develop innovative tech systems responsible to automate marketing campaigns, design a tailored user experience for each customer and you will challenge the existing decision-making processes with AI and advanced analytics solutions. If you’re a creative problem solver who is hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
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.
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.
Hello Fresh
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 and inspire millions of energized home cooks across the globe every week.
10 countries, operating from offices in Berlin, New York City, Sydney, Toronto, London and Amsterdam. Our team of 4,000 people is extremely passionate about innovation, fast-paced and dynamic environment.
THE ROLE
As a Data Engineer in the Retail Operations Data Products team, you’ll work with Data Scientists, Backend and Research Engineers to build data-driven products that help Zalando place the right orders for the right articles. Having successfully launched our Sizing decision support product, we are now taking on the challenge of moving from decision support to decision automation. This opens new opportunities and puts new requirements on our data and machine learning pipelines.
The SIGNAL IDUNA Group has been one of the top service insurers in Germany for many years. After the implementation of the new IT strategy in the last 2 years, Signal Iduna’s IT is in an exciting phase. The foundations and structures for the next level of digitization have been laid and are now being consistently implemented in the development of modern services with state-of-the-art technologies. A ‘Data Analytics Expert Team’ is being set up within the IT department ‘Business Intelligence’ to deal with the strategic topic of data management/big data and analysis.
For our Query Engine we are looking for a C++ Engineer, who develops and implements new features and algorithms for our “core engine“ and increases the reliability and performance of existing components. With your extensive expertise in C ++ and Java and your experience in the development of high performance applications you create new, innovative algorithms and operators for our query engine. Are you looking for a product you can develop with passion and drive?
Das erwartet Sie
Als Mitglied der Abteilung Data & Analytics sind Sie Ansprechpartner für unsere BI- und Data Science-Experten in allen Fragestellungen rund um Data Management.Sie arbeiten in engem Austausch mit unserem Data Architect, unseren Spezialisten Compliance und Regulations sowie unserem Head of Risk.Sie konzipieren und implementieren Data-Management Strategien.Dabei kennen und überwachen Sie die Einhaltung der anwendbaren gesetzlichen, aufsichtsrechtlichen und betriebsinternen Rahmenbedingungen, die bei der Weiterentwicklung unserer BI- und Data-Science-Anwendungen zu beachten sind.
Cliqz is a Munich based start-up with creative minds from more than 30 countries. We develop innovative apps, which combine browser, privacy and search technologies. Our principle investors are Hubert Burda Media, one of the biggest players in European media, and Mozilla, developer of the Firefox browser. Our apps under the brand names Cliqz and Ghostery are used by millions of users daily.
We are looking for motivated talents who thrive in a flexible, creative, fast-paced environment and who possess a solid understanding of current market trends as well as emerging technologies.
Our development team is looking for a world-class data expert to provide a vision, strategy and development leadership for all data architecture and management of data for our product ecosystem. This is a rare opportunity to join a fast growing startup in a key future-oriented role.
What connects us is a passion for cycling, digital technology, and good design as well as the desire to try out new things and always question the status quo.
As a Junior Data Analyst (m/f) you combine your passion for data with the business driven application of your analytical skills. You will become a valuable member of our new data science team with a focus on online marketing optimization, technical KPI´s and the behavioral data of our players. Do you have first professional experience in the area of data analysis and are you familiar with programming / query languages such as SQL, Python or R?