Senior Data Scientist (m/f/d)
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
We build Junie, our AI coding agent, available across JetBrains IDEs and as a standalone CLI.
Betreibt und skaliert GPU-Cluster für das Training tabellarischer Foundation Models, inklusive Scheduling, Kostenoptimierung und CI/CD-Pipelines.
Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
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work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
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Steuert Lieferprogramme für Trainingsdaten (Text, Bild, Video, Audio) für KI-Labore und baut QC-Prozesse mit Human-in-the-Loop auf.
Bringt jedes TabPFN-Modell-Release über SAP, Cloud-Marketplaces und Kundenumgebungen live und koordiniert dafür Engineering und Partnerteams.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
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As a Staff Machine Learning Engineer, you will help shape and advance our Recommendations product.
Tide is hiring a VP of Engineering to lead the engineering organisation behind Ongoing Monitoring.
Change the way the world travels Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide.
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As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from mode
Verantwortet JetBrains Context als Produkt: Zielgruppen, Roadmap und Erfolgsmetriken für die Retrieval-Schicht, die Coding-Agenten mit Wissen versorgt.
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Make an Impact by: - Delivering AI and ML solutions that solve real business problems and create measurable value for teams across DCS - Own
Data sits at the heart of the company.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries. - Translate revenue management theory and industry best practices into concrete, testable improvements, from idea and experimentation through to production rollout. - Co-own the evolution of the entire system through regular collaboration and discussions with peers across your team and neighboring engineering teams. - Contribute to the technical health, reliability, and observability of the existing system. About You Education and Revenue Management expertise (must-have) - Advanced degree (Master’s or PhD) in Operations Research, Mathematics, Statistics, or a related quantitative field - Solid theoretical foundation in RM: demand modeling, dynamic pricing, and network revenue management. - Applied experience with RM or pricing tech solutions in transportation, travel, hospitality, retail, or a comparable domain is a big plus. Engineering and data craft - Strong hands-on Python (including NumPy, Polars, Pandas, SciPy) and comfort with SQL on large datasets. - Production-code experience is welcome but not required; what we expect is genuine interest in writing, reviewing, and maintaining code that runs reliably in production.
Soft skills - Excellent communication: you explain complex quantitative concepts or optimisation trade-offs to technical and non-technical, commercial audiences alike, and you enjoy educating and advocating for sound RM solutions. - Senior judgment: you scope your own work, balance short-term fixes with long-term direction, and respect the constraints of an existing system. We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don t meet 100% of the requirements, we still encourage you to apply.
We want to hear from you!
: 12 free Flix vouchers + 12 discount vouchers for friends & family. - Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year. - Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life. - Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members. - Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills. - Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career. To view more local benefits specific to each office location, please check out this link: Locations - Flix Career Why Join Flix? At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable. If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!
At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership. We re looking for a motivated and skilled Senior Data Scientist to join our Team Greenrock – Demand Division. Our Tech team owns Flix s Revenue Management System (RMS), a production system with a direct commercial impact.
We are looking for a colleague who will play an active role in shaping the next generation of the RMS by leveraging their deep expertise in revenue management. This is a hands-on senior role in a non-greenfield environment: delivering meaningful change requires care, conviction, and patience. About
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Zur Originalanzeige222 geprüfte Stellen bei 138 Arbeitgebern, 29 davon ortsunabhängig. 91 in der KI-Entwicklung, 70 in Integration & Automatisierung.