Senior Product Analyst / Data Scientist
In Token Factory analytics there is no split into product analysts, ML engineers and data engineers.
In Token Factory analytics there is no split into product analysts, ML engineers and data engineers.
Du gestaltest aktiv den Entwicklungsprozess mit KI von IT-Systemen für komplexe Problemstellungen, nutzt AI-Coding-Assistenten und Agenten p
Gestaltet Messe-, Print-, Präsentations- und Social-Media-Material für mehrere Marken und erstellt Bilder mit generativer KI.
Senior AI Engineer - Mission à 100% Senior AI Engineer - Mission à 100% Description de l’offre Pour le compte de notre client, une fintech s
Entwickelt KI-Agenten und automatisierte Workflows für Sales Operations, verbindet Unternehmenssysteme und unterstützt Citizen Developer.
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.
Tätigkeiten Verantwortung für die strategische Ausrichtung, den Aufbau und die Weiterentwicklung der Datenstrategie und des KI-Portfolios in
We are looking for a Data & AI Solution Expert to shape the technical direction of our enterprise Data & AI ecosystem and turn advanced data
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.
As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligen
Verantwortet End-to-End-Verbesserungen des KI-Assistenten Oyster AI: Architektur, Retrieval, Agenten, Evaluation und sicheren Rollout.
Deep analysis. Smarter systems.
requires technical depth across Microsoft AI solutions, understanding of the competitive landscape, strong consulting skills and executive l
im Team Als AI-Research Engineer mit Software-Engineering-Hintergrund sind Sie ein zentrales Mitglied des CASABLANCA Research Teams und ein
Automation entwickeln: Du konzipierst, baust und optimierst automatisierte Workflows mit Low-Code-Plattformen wie n8n, KNIME, oder vergleichbaren Tools.
Job Title: Technical Project Lead, Agentic AI Location: Berlin or Munich, Germany Why this role matters German Mittelstand companies urgentl
Als Senior AI Platform Architect (w/m/d) gestaltest Du die nächste Entwicklungsstufe unserer hybriden KI-Plattform und verbindest lokale KI-
Du hast dein Studium in Wirtschaftsinformatik oder einem verwandten Fach abgeschlossen und willst Software nicht nur bauen, sondern direkt b
Für ein strategisches AI-Architekturprogramm bei einem führenden Schweizer Unternehmen suchen wir 2–4 erfahrene Platform Architects mit Schw
Backend-Services der AI-Agenten-Plattform als eigenständigen Service entwickeln und betreiben LLM-basierte Agenten-Pipelines, agentische Wor
provides an opportunity to build and develop strong practical data science skills while contributing to measurable business outcomes.
im Level 2 Support Du bearbeitest anspruchsvolle Incidents und Service Requests, die die Gruppengesellschaften nicht selbst lösen können, vo
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.
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 Originalanzeige