Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop end-to-end solutions for complex business problems by building models for production, collaborating closely with engineers to ensure their maintenance and scalability.
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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Benefits
Work-Life-Integration
- 🏝Extra Holidays
- ⏸Educational Leave/Sabbatical
- 🏖️Workation
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
- 🐕Animals Welcome
- 🕺No Dresscode
More net
Health, Fitness & Fun
- 🚲Jobbike
- 💰Team Budget for Free Use
- 🏋🏿♂️Fitness Offers
- 🧘♀️Massage, Yoga, etc.
- 🎳Team Events
- 🎮Gaming Room
- 🤫Relaxation Rooms
- ⚽️Tabletop Soccer, etc.
- 👨🏻🎓Mentor Program
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
SQUER
Wien, München
We are a full-service provider that thinks agile and solves complex problems with technology. The result is efficient software solutions, successful product developments, and a precise agile evolution of our partner businesses.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2019
- Language
- German, English
- Company Type
- Digital Agency
- Working Model
- Hybrid
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.9
Workingconditions
5.0Culture
5.0Engineering
4.8Career Growth
5.0
Senior Data Scientist
- Salary
- from 60.000 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- Easy Apply
- Easy Apply
