Job
In this role, you analyze data, derive actionable insights to improve efficiency, and implement results in production systems while leading projects and cleaning data.
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Job technologies
Your role in the team
- Extraction of knowledge from data
- Derivation of action recommendations to increase efficiency within the company
- Migration of results into production systems
- Performing data cleansing
- Data Acquisition
- Project Management
Our expectations of you
Education
- Completed degree in Mathematics, Statistics, Data Science, or Information Technology
Qualifications
- Knowledge of programming languages R, Python, C# or Java, SQL
- Knowledge in data technology and data storage as well as in algorithm programming
Experience
- Experience with probabilistic models, machine learning, statistical methods, and pattern recognition
- Several years of professional experience in this field preferred
What we offer
- At Liebherr, you can expect a challenging and interesting range of tasks within an internationally successful corporate group, as well as
- Opportunities for Personal and Professional Development
- Flexible working hours with home office option
- In-house company cafeteria including meal allowance
- Free company transportation and bike leasing
- Employee discounts at various companies
- Legal notice: For this position, a collective agreement minimum wage of the metal industry applies. The actual income depends on professional qualification and work experience.
Benefits
Work-Life-Integration
Higher take-home pay
Food & drink
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Nenzing, Bischofshofen, Korneuburg
The Liebherr Group is one of the world's largest manufacturers of construction machinery, with more than 41,000 employees in over 130 companies on all continents.
- 1960
- Established Company
- Onsite, Hybrid
- Engineering Industry
Employer reviews
- Engineering
- 3.5
- Career growth
- 3.7
- Working conditions
- 4.1
- Team culture
- 3.9
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