Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 60.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du End-to-End-Lösungen für komplexe Geschäftsprobleme, wobei du Modelle baust, die in Produktion gehen, und eng mit Ingenieuren zusammenarbeitest, um deren Wartung und Skalierbarkeit sicherzustellen.
Deine Rolle im Team
- Own end-to-end use cases: Translate business problems into data science and machine learning solutions from problem framing to model validation and measurable business impact.
- Build models that matter: Apply statistics, feature engineering, and modeling techniques to build robust and meaningful models with a clear focus on robustness, interpretability, and usefulness.
- Make models production-ready: Support deployment, evaluation, monitoring, and drift detection. You care about what happens after the first release.
- Work closely with Engineers and Platform teams: Collaborate closely with Engineers and Platform teams to move models from experimentation into scalable, maintainable systems.
- Act as a trusted advisor: Advise clients, challenge assumptions, and adapt your approach depending on context and maturity.
- Communicate with clarity: Explain insights, limitations, and results clearly to technical and non-technical stakeholders.
Unsere Erwartungen an dich
Qualifikationen
- Strong analytical foundation: Solid knowledge of statistics, feature engineering, and model evaluation - and when not to use complex models.
- Collaboration skills: Proven ability to work effectively with engineering and platform teams.
- Communication skills: Ability to communicate complex topics clearly and pragmatically.
- Language skills: Very good English skills; German is a big advantage.
Erfahrung
- Applied Data Science experience: Hands-on experience building data science or ML solutions with real business relevance.
- Production mindset: Experience or strong interest in deploying, monitoring, and maintaining models in production.
- Consulting experience: Experience in consulting or client-facing roles, or a clear ability to think pragmatically, ask the right questions, and adapt to context.
Benefits
Work-Life-Integration
- 🏝Extra Urlaubstage
- ⏸Bildungskarenz/Auszeit
- 🏖️Workation
- 🏠Home Office
- ⏰Flexible Arbeitszeiten
- 🚌Gute Anbindung
- 🐕Tiere willkommen
- 🕺No Dresscode
Mehr Netto
Gesundheit, Fitness & Fun
- 🚲Jobrad
- 💰Teambudget zur freien Verfügung
- 🏋🏿♂️Fitness Angebote
- 🧘♀️Massage, Yoga o. A.
- 🎳Team Events
- 🎮Gaming Room
- 🤫Ruheräume
- ⚽️Tischkicker o. Ä.
- 👨🏻🎓Paten- & Mentor- Programm
Essen & Trinken
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
SQUER
Wien, München
We are SQUER: coding architects, software engineers, agile transformation experts and cloud engineers, all striving towards one goal. Solve our customer's challenges on their way to holistic digitalization while profoundly understanding their business and constraints. Our consultants are developers and vice versa. We believe in tackling challenges hands-on over concept only. The services we provide: Technology Boost, Sustainable Delivery, Realizing Agile, Cloud Engineering.
Description
- Unternehmensgröße
- 50-249 Employees
- Gründungsjahr
- 2019
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Digitale Agentur
- Arbeitsmodell
- Hybrid
- Branche
- Beratung, Internet, IT, Telekom
Dev Reviews
by devworkplaces.com
Gesamt
(1 Bewertung)Workingconditions
5.0Culture
5.0Engineering
4.8Career Growth
5.0
Senior Data Scientist
- Gehalt
- ab 60.000 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Easy Apply
- Easy Apply
