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
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
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.
About ICIS ICIS is part of Lexis Nexis Risk a FTSE 20 company with revenues of $12.9 billion in 2025 and an employee base of over 30,000 peo
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
We are aiming to hire someone in the the UK, Czechia or Italy.
/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Erforscht und trainiert Foundation-Modelle für Physiksimulation, kuratiert Simulationsdatensätze und bewertet Modelle gegen Ingenieurs-Validierungsstandards.
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
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As a Senior Python Software Engineer, you will design, build, operate, and scale the technical platforms, services, and tools that support t
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Protect AI models, algorithms, and data from emerging threats.
As a Senior Machine Learning Engineer, you will help build our new Retail Media product from the ground up.
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
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Warum dieser Job gelistet ist
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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 OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.