Senior Scientist Jobs in Berlin gesucht - gefunden!

We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. ...

THE TEAM AND THE ROLE The Ranking and Recommendations team at Zalando assists customers in their fashion discovery journey and helps them find what they are looking for. We are developing the next generation of our discovery systems, utilising state-of-the-art Deep Learning, Multi-Objective Optimization and Recommender Systems, to create highly personalised and engaging customer experiences by creating and optimizing ranking and recommendation algorithms for the Zalando customer experience. As a Senior Principal Applied Scientist, you will address challenging fashion problems using cutting-edge approaches. You will contribute to drive our scientific roadmap, applying your scientific capabilities and in collaboration with a team of exceptional scientists and engineers developing models and cutting-edge machine learning products that enhance the experience of over 53 million customers WHAT WE'D LOVE YOU TO DO (AND LOVE DOING) Utilise your extensive scientific experience in researching, deploying, and architecting machine learning and deep learning solutions, particularly in Deep Learning, Recommender Systems, Multi-objective optimisation to enhance the conversion journey of millions of our customers through product selection, ranking and recommendations. Collaborate with multiple teams to create a cutting-edge science stack that aligns with the product strategy and drive architectural and design principles. Develop long-term roadmaps for research topics that span multiple product areas and address concrete business goals. As part of the leadership team, be the sparring partner and trusted advisor for Zalando senior leadership and advise on investments in people, strategic direction and make or buy decisions. Act as a mentor and guide to senior and principal scientists, and actively share knowledge and expertise within Zalando's science community. Forge close partnerships with applied science leaders and product managers, to deliver state-of-the-art machine learning solutions to our customers and uncover new opportunities for growth. This includes driving and delivering large delivery projects with high uncertainty in production, applying the scientific approach to solve complex challenges, and communicating and aligning with other teams, stakeholders, and senior leadership. You will support and work on deploying, developing, implementing, testing, and researching ML models for personalisation, ranking, recommendations for the entirety of the Zalando customer journey. WE'D LOVE TO MEET YOU IF PhD in Machine Learning and AI (or equivalent experience), accompanied by 8+ years of industry experience, especially in deep learning, multi-armed bandits, or large-scale sequential decision-making systems, ideally applied to personalization, or ranking. Experience leading and shaping the scientific roadmap of teams in products that span across multiple areas and working with senior Applied Science leaders. Ability to discover new business opportunities collaborating with product, science, and engineering managers and solve business problems through scientific solutions. Extensive track record of addressing real-world problems using machine learning throughout the entire product cycle, and raises department and Zalando's best practice in methods, algorithms and technology, including architecture, design patterns, and research roadmaps. Authority on deep learning and extensive track record in leveraging research to advance the state of the art, including strong publication records. Extensive hands-on experience in deep learning with proficiency in Python and frameworks like PyTorch or TensorFlow for RL implementations. Proficiency in cloud computing platforms such as AWS is also required. PERKS AT WORK Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events. Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings. Extensive onboarding, mentoring and personal development opportunities and an international team of experts. Relocation assistance for internationals, PME family service and parent & child rooms* (*available in selected locations). We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need. ABOUT ZALANDO Zalando is Europe's leading online platform for fashion, connecting customers, brands and partners across 23 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 52 million active customers through diverse skill-sets, interests and languages our teams choose to use. ...

Deine AufgabenData und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung wie folgt: Du gestaltest und leitest zielstrebig herausfordernde Data Science Projekte mit klarem Business Fokus in einem interdisziplinären TeamDu erkennst routiniert die Bedürfnisse deiner KundenDu konzeptionierst und entwickelst effektive, datengetriebene Lösungen und begleitest die InbetriebnahmeAus den Datensätzen Deiner Kunden extrahierst Du die relevanten und entscheidenden DatenDu entwickelst innovative Lösungen durch moderne Methoden aus den Bereichen Statistik, Machine Learning, mathematischer Optimierung und Visual AnalyticsDeine Ergebnisse und Erkenntnisse kommunizierst Du erfolgreich an Deine KundenDu begleitest die umfassende Implementierung Deiner Idee zusammen mit dem Data Engineering TeamAls Fachexpert:in nimmst Du regelmäßig an Kundenterminen und gelegentlich an externen Veranstaltungen teilDein ProfilDaten sind auch in ?Deiner DNA? Das solltest ?Du mitbringen:Abgeschlossenes Studium der Wirtschaftsinformatik, Wirtschaftsmathematik, Informatik, Chemie, Physik, Statistik, Mathematik oder einem vergleichbaren Studiengang mit starkem quantitativem FokusMindestens 3 Jahre Vollzeit Berufserfahrung im Umfeld von Data Science und AI Engineering, idealerweise in Consulting, IT-Dienstleistungen oder anderen kundenorientierten RollenNachweisbare Erfolge im Bereich Business Analytics, insbesondere bei der Konzeption, Entwicklung und dem Betrieb von Data Use CasesSehr gutes analytisches und konzeptionelles Denkvermögen, ausgeprägtes Verständnis für Datenmodellierung und -analyse und Kenntnisse der SoftwareentwicklungExpertise in gängigen Analytics-Toolboxen, insbesondere der Programmiersprache Python (und relevanter Bibliotheken), Visualisierungslösungen (wie Tableau/ PowerBI) sowie Datenbanken und Big Data TechnologienBranchenspezifische Kenntnisse für Retail und Consumer von VorteilErfahrung mit Cloud-Technologien (AWS, Azure, DBX) und Datenplattformen (Snowflake, MS Fabric, DBX)Du hast Freude an projektbezogener Arbeit, bist kundenorientiert und besitzt eine ausgeprägte Kommunikations- sowie PräsentationsstärkeFließende Deutsch- und Englischkenntnisse in Wort und Schrift sind erforderlichWir bietenWork-Life-BalanceVertrauensarbeitszeit mit flexibler Arbeitszeitgestaltung, hybrides Arbeitsmodell, workation – nutze die Möglichkeit aus dem EU-Ausland zu arbeitenKultur & ZusammenarbeitEinzigartige Teamatmosphäre, flache Hierarchien zu unserem CEO Alex sowie eine offene Feedbackkultur, jährliche Teamworkshops auf unserem Data.Castle im Zillertal, gelebtes Data.Musketeer Prinzip – „einer für alle, alle für einen! ...

Sie übersetzen fachliche Anforderungen in tragfähige, nutzerorientierte KI-Lösungen, mit klarem Fokus auf Cloud-Technologien. Sie begleiten KI-Lösungen von der Idee bis zum produktiven Einsatz und zur Skalierung und steuern die Umsetzung gemeinsam mit Engineering, Data/ML, IT-Security, Architektur und unseren Fachbereichen. Mit Ihrer technischen KI-Expertise bewerten Sie Technologien und Lösungsansätze und unterstützen bei Entscheidungen rund um Architektur, Cloud-Services, Daten und Modelle. ...

Your expertise will be key in designing and developing AI-driven systems that support fashion discovery, trend exploration, outfit recommendations, and conversational shopping experiences. As a Principal AI Scientist, you’ll play a significant role in shaping the architecture and capabilities of the Zalando Assistant. You will work on AI agents, RAG pipelines, prompt engineering, and LLM integrations, ensuring high-quality, grounded, and engaging conversations. ...

Der Gesamtverband der Deutschen Versicherungswirtschaft (GDV) in Berlin ist die Dachorganisation der Versicherer in Deutschland. Gegenüber Parlament, Regierung und Öffentlichkeit - national wie auf europäischer Ebene - vertreten wir die Interessen einer spannenden, leistungsfähigen und vielfältigen Branche. Sie kommen aus dem Bereich der KI und verstehen es, Technologie in erfolgreiche Lösungen zu übersetzen? ...

We are seeking an Applied Scientist to join our Berlin-based Applied Science team in a business-critical role. In this position, you will design, build, and scale cutting-edge AI systems, leveraging a mix of Deep Learning, LLMs and Agentic workflows for high-volume production, directly optimizing customer self-service solutions to handle millions of queries monthly. Working closely with a cross-functional team of data engineers, software engineers, analysts, and product managers, you will turn scientific innovations into scalable AI products that elevate the customer experience. ...

We are seeking a Senior Applied Scientist to join our Berlin-based Applied Science team in a business-critical role. In this position, you will design, build, and scale cutting-edge Agentic AI systems and Large Language Models (LLMs) for high-volume production, directly optimizing customer self-service solutions to handle millions of queries monthly. Working closely with a cross-functional team of data engineers, software engineers, analysts, and product managers, you will turn scientific innovations into scalable AI products that elevate the customer experience. ...

As a global digital-native FMCG company and the world's leading mealkit provider, we are transforming the traditional food supply chain through a data-driven, on-demand model that enables scalable and more sustainable food delivery. The HelloFresh Group includes eight brands serving customers across multiple meal occasions, including HelloFresh, Green Chef, EveryPlate, and Chefs Plate, as well as ready-to-eat meals from Factor and YouFoodz, meat and seafood subscriptions through Good Chop, and pet nutrition with The Pets Table. Through technology, data, and culinary innovation, we deliver personalized food experiences to millions of households worldwide.  JOB DESCRIPTION About the role: What's in the Box The Growth Alliance powers HelloFresh’s marketing engine, from media investment and in-channel optimization, to the conversion funnel, to how and when we communicate with customers. ...