In Token Factory analytics there is no split into product analysts, ML engineers and data engineers.
We are hiring Senior Data Scientists across multiple teams at Constructor.
Fuse Energy is an energy startup on a mission to make energy abundant and affordable, fast.
im Team Als AI-Research Engineer mit Software-Engineering-Hintergrund sind Sie ein zentrales Mitglied des CASABLANCA Research Teams und ein
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators.
We are looking for a talented graduate to join our AI development team and learn practical AI/ML and data engineering skills.
Design and develop engaging R Shiny applications, dashboards and visualisations to support clinical study monitoring, data review, safety an
Overview The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and material
Leitet die Entwicklung der digitalen SoC-Architektur für LLM-Inferenz-Chiplets und koordiniert dafür Design-, Verifikations- und Compiler-Teams.
Sie sind die technische Brücke zwischen Forschung, IT und KI-Technologie.
Du entwickelst mit Python innovative A I-Agenten - von der Konzeption geeigneter Use Cases über die Umsetzung und Integration bis zum produk
Als Aktuar im agilen Aktuariat gestaltest du gemeinsam mit deinem Team maßgeblich die Tariflandschaft der Axa.
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
Entwickelt KI-Emulatoren für biomolekulare Strukturen und Wechselwirkungen, schreibt Forschungscode und koordiniert Datenerhebung und Trainingsläufe.
KI für Bilder und Punktwolken entwickeln: Du entwickelst Anwendungen zur Auswertung von Bilddaten, Punktwolken und 3D-Daten, beispielsweise
Be responsible for a core pillar of Stenon’s products Scale our soil nutrient modelling to support more and more regions across the world Ov
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
Gerade starten wir neue Projekte, bei denen wir von Anfang an AI-first denken – von der Entwicklung bis zur Produktidee.
CT is a European-based international engineering company with a clear mission: to provide innovative and technological solutions that help o
Introduction HeiGIT (Heidelberg Institute for Geoinformation Technology) As a nonprofit research institute, HeiGIT (Heidelberg Institute for
will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions
Use AI as part of the day-to-day data science workflow and identify opportunities to develop reusable AI-enabled tools, skills, or agents th
Leitet Projekte zur Entwicklung und Einführung skalierbarer KI-Lösungen für Fertigung und Operations und steuert dabei internationale Stakeholder.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
: In Token Factory analytics there is no split into product analysts, ML engineers and data engineers. Each person owns a question end to end: builds the data, runs the analysis, and comes back with a recommendation that changes a decision.
will include: - Define core product and business metrics and build a single source of truth that Product, Finance, and Sales can rely on. - Build a comprehensive view of self-service customers, including usage patterns, customer health, satisfaction, retention risks, unmet needs, and growth opportunities. - Translate customer demand and commercial plans into capacity forecasts and support capacity allocation decisions. - Measure effective capacity utilization and identify opportunities to improve the commercial value of available capacity. - Develop and evaluate pricing and packaging models, including guaranteed capacity, on-demand pricing, commitments, clawback mechanisms, and provisioned throughput units. - Provide data-driven recommendations for the self-service and managed offerings, including customer segmentation, pricing, and capacity. - Partner with Product, Engineering, Applied AI, Finance, and Sales to turn insights into concrete product and operational improvements. We expect you to have: - 5+ years of experience in analytics or data science. - Strong Python, SQL, and statistics: you understand the code and the methods you use. - Hands-on experience analysing large-scale customer, product, and usage datasets using statistical / analytical or distributed data-processing tools. - AI-assisted coding as your default way of working: you guide it, verify it, and own the result. - The ability to go from a question to a production-ready solution. - The ability to turn complex data into clear recommendations. - Strong commercial and product judgment, with the ability to balance customer value, monetization, growth, and profitability. - Experience with pricing, packaging, monetization, or commercial analytics for technical or consumption-based products. - Strong cross-functional collaboration skills across Product, Engineering, Data, Finance, Sales, and Operations. - A hands-on and proactive working style, with the ability to operate effectively in an ambiguous and technically complex environment.
&
: - Competitive compensation - Career growth and learning opportunities - Flexibility and ownership - Collaborative and innovative culture - Opportunity to work on impactful AI projects - International environment and talented teams What s it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers.
From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.