Job
In this role, you will independently develop analytical and machine learning models, identify new applications, and implement robust solutions based on environmental and sensor data.
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Job technologies
Your role in the team
- Independent end-to-end handling of data-driven use cases, from problem definition and data analysis through modeling and validation to the implementation of robust and production-ready analytical and modeling solutions.
- Development and validation of analysis, machine learning, and AI solutions based on environmental, sensor, plant, and other relevant data.
- Identification of new data-driven use cases as well as active shaping of the product vision and further development of existing data products.
- Translation of technical and client-side questions into suitable analytical and data science solutions.
- Application of appropriate standards for code quality, testing, deployment, and technical documentation.
Our expectations of you
Education
- Completed education (HTL, university degree, or comparable) in the field of Data Science, Mathematics, Statistics, Physics, or a related area.
Qualifications
- Excellent knowledge of Python and SQL.
- Basic knowledge of MLOps and CI/CD is advantageous.
- Professional background in meteorology, geosciences, or a comparable natural science discipline is advantageous.
- Excellent German and English skills.
- Independent and innovative thinking and working.
- Ability to clearly explain and communicate complex technical issues.
- Ability to work in a team and enjoyment of interdisciplinary collaboration.
Experience
- Several years of experience (3+ years) in Data/ML Engineering.
- Experience with cloud (e.g., Azure), Databricks, Spark, or Dask.
What we offer
- International and national projects.
- Home office.
Benefits
Health, fitness & fun
Higher take-home pay
Work-Life-Integration
Food & drink
Topics you will work on
Job locations
About your employer
Wolfurt
Doppelmayr/Garaventa is the world's leading manufacturer of cable cars and ropeways, with production facilities and sales offices in more than 35 countries.
- Established Company
- Onsite, Hybrid
- Engineering Industry
Employer reviews
- Team culture
- 4.3
- Working conditions
- 4.5
- Engineering
- 3.3
- Career growth
- 3.8
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