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CRIF ist ein Technologieunternehmen mit mehr als 70 Niederlassungen in über 35 Ländern auf vier Kontinenten. Der Fokus der Leistungen von CRIF liegt auf datenbasierten Lösungen für Identitäts-, Risikomanagement, Betrugsvermeidung und Digitalisierung. CRIF zählt rund 10.500 Finanzinstitute, über 1.000 Versicherungen und 82.000 Unternehmen zu seinen Kunden. Wir vereinen das Beste aus zwei Welten: innovative Technologie mit bester Information & Analytics. Unsere Lösungen schaffen einen Mehrwert und Vorsprung in der Digitalisierung der Customer Journey. Senior Data Scientist (m/w/d)Deine Aufgaben umfassen ein breites Spektrum im Bereich Data Science, unter anderem mathematische Modellentwicklung, insbesondere in den Bereichen Risikomanagement, dynamische Preisbildung, Bonität und Betrugsvermeidung, selbstständige Abwicklung von analytischen Projekten sowohl intern als auch mit und für Kunden, Aufbereitung von Business Cases inkl. Vorstellung der erzielten Ergebnisse und Mehrwerte bei Kunden, laufendes Monitoring der Performance von Modellen in unseren Kernprodukten, Pflege und Weiterentwicklung von Datenpipelines für den laufenden Betrieb sowie aktiver Austausch zu Best Practices mit (Fach-)KollegInnen im In- und Ausland. Deine Aufgaben bearbeitest du in enger Abstimmung mit den Bereichen Sales, Produktmanagement und Datenmanagement, insbesondere aber mit deinen KollegInnen im Bereich Analytics. Mindestens 3 Jahre Erfahrung in einer vergleichbaren Position. Abgeschlossene, quantitative akademische Ausbildung mit Schwerpunkt Modellentwicklung Praktische Erfahrung in der Modellentwicklung ist in zumindest einem der Bereiche Machine Learning, Scorecard-Entwicklung, Klassifikationsmodelle und/oder diskrete Optimierung Fortgeschrittene Kenntnisse in zumindest einem der folgenden Bereiche: SQL, Python (inkl. einschlägiger Packages), R Vorzugsweise Erfahrung in Projekten mit direktem Kundenkontakt Verhandlungssichere Deutsch- und Englischkenntnisse Flexible Arbeitszeiten und Möglichkeit zu Homeoffice Modernes und repräsentatives Büro in zentraler Lage Wiens Flache Hierarchien und kurze Entscheidungswege Internationale und trotzdem familiäre Unternehmenskultur Zahlreiche Mitarbeiter Events (z.B.: Partys, Business Run) Eigenverantwortliches und dynamisches Arbeitsumfeld Energietanken mit einem Kaffee auf unserer Dachterrasse Möglichkeit zur individuellen Weiterbildung Zahlreiche weitere Mitarbeiter-Incentives (Wiener Linien Ticket, 5% des Fixgehaltes als private Pensionsversicherung, uvm.) Aufgrund der gesetzlichen Bestimmungen sind wir verpflichtet ein Mindestgehalt im Inserat anzugeben. Dieses liegt lt. IT-Kollektivvertrag bei ca. € 65.000,- Jahresgehalt. Das tatsächliche Gehalt wird, gemessen an deiner Qualifikation, im Bewerbungsprozess definiert. Wir freuen uns darauf dich persönliche kennen zu lernen und gemeinsam über deine Einstiegs- und Entwicklungsmöglichkeiten bei CRIF zu sprechen!

TU-ID: 194 | 2024 | 14 | 230931Assistant Professorship (all genders) - Tenure Trackfor the specialised field of Recommender SystemsTU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. The Faculty of Informatics at TU Wien invites applications for a full time Assistant Professor position with tenure track. The position has a focus on Recommender Systems and is affiliated with the Institute of Information Systems Engineering, Research Unit Data Science. The estimated starting date is May 2024. The work contract is initially limited to six years. The candidate and TU Wien can agree upon a tenure evaluation, which when positive, opens the possibility to change the position to Associate Professor with an unlimited contract.TU Wien is among the most successful technical universities in Europe and it is Austria’s largest scientific-technical research and educational institution. The Faculty of Informatics, one of the eight faculties at TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering.Tasks:We invite applications from candidates with a focus on Recommender Systems, which encompass software tools and techniques that offer personalized suggestions to users, facilitating information retrieval and product search activities. The rapid rise of online platforms using recommender systems has sparked increasing debate about their influence and potential drawbacks. This includes concerns such as filter bubbles, echo chambers, fake news, and micro-targeting, with some attributing responsibility to personalization and recommender systems for these issues. Increased user awareness of inherent biases in these systems has led to a call for solutions that reduce bias and prioritize meaningful interactions over simplistic engagement metrics. Additionally, users often perceive recommendations as overly simplistic and lacking depth, particularly in domains like media, leisure, and lifestyle, where emotional factors heavily influence decision-making. The candidate will strengthen our Informatics research and education in the Data Science Research Unit, focusing on designing approaches that cater to the unique preferences and needs of diverse users and communities. This involves creating evaluation metrics beyond mere accuracy, considering novelty, diversity, and serendipity. Candidates should also propose nuanced user models that take into account social relationships among users, while mitigating inherent biases in these systems. Additionally, we encourage applicants to integrate emerging technologies like Generative AI into their Recommender Systems research, using innovative methods to improve recommendation quality and user experience. However, critical reflection is essential and should encompass the ethical implications, potential biases, and societal impacts of these technologies. The research conducted should be situated within the broader framework of Digital Humanism, ensuring that technological advancements remain aligned with human interests and values. We are particularly interested in candidates who will complement our existing expertise and lead to fruitful collaborations not only with other members of the Faculty of Informatics but with TU Wien as a whole.  Besides research, the duties of an Assistant Professor at TU Wien include graduate and undergraduate teaching (in English and German) as well as contributing to usual management and faculty service tasks. We expect the position holder to provide leadership in delivering and developing the Master program Data Science as well as to teach courses in this program and in the other programs of the Faculty of Informatics.Your profile:EssentialPhD or doctoral degree in Computer Science or related subjectsPost-doctoral experience at a university or other research institutionOutstanding research and publication recordExcellent reputation in the international scientific communityExperience in raising research funds and managing scientific research projects, in particular the acquisition and positive 2-year evaluation of a Christian Doppler Laboratory in the relevant scientific areaExperience in outreach activities, in particular on the topic of Digital HumanismExperience in university teachingPedagogic and didactic skillsAdministrative and organizational skillsDesirableLeadership skills and experienceExperiences in inter- and trans-disciplinary researchGender sensitivity and social skillsIf the candidate’s knowledge of German is not sufficient, the willingness to learn German is expectedWe offer:Excellent working conditions in an attractive research environmentAn attractive salary, including additional contributions to a pension fundSupport for relocating to Vienna (if required)A position in a city with an exceptional quality of lifeCentral location of workplace with very good accessibility (U1/U4 Karlsplatz)Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien General information can be found at the following links:TU WienFaculty of InformaticsThe 4 research foci of the Faculty of InformaticsInstitute of Information Systems EngineeringData Science Research UnitTU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter. The employment starts as University Assistant with a minimum salary of EUR 4,752.30 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 5,595.60 gross (14 x per year).We look forward to receiving your application until May 2nd, 2024.Applications have to include the following documents:A detailed curriculum vitaeA list of publicationsA letter of motivationA teaching statementA research statementCertificates of doctoral and diploma degrees should be uploaded under the category: +add more documents If you have any questions, please do not hesitate to contact usCarmen Keck | T: +43 1 588 01 406201Here you can find also relevant information about the application process. Technology for People Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this admission process.