Data Scientist (m/w/d)

Vodafone

Unterföhring, Germany
Hybrid (3 days/week remote)
Python software development
Data analysis with ai
Algorithm design and implementation
Vodafone is seeking a Data Scientist to join their DevOps team in Unterföhring, Germany. The role involves applying advanced data science methods and machine learning to optimize network services and enhance customer experiences. Ideal candidates will have a strong background in data analysis, programming, and a collaborative mindset

Job Summary

  • Develop innovative solutions to optimize Vodafone's network and services towards an 'Autonomous Network' using state-of-the-art Data Science methods, Machine Learning, and agile processes.
  • Take responsibility for the entire process from target vision and data analysis to the implementation of intelligent software solutions that shape the network of the future.
  • Benefit from flexibility with Hybrid Working (up to 3 days/week from home), opportunities to work abroad, attractive compensation, and comprehensive further education programs.

Matching Summary

Match Score: 85

Vodafone is seeking a Data Scientist to join their DevOps team in Unterföhring, Germany. The role involves applying advanced data science methods and machine learning to optimize network services and enhance customer experiences. Ideal candidates will have a strong background in data analysis, programming, and a collaborative mindset.

Skills & Requirements

Must-have

  • Python software development
  • Data analysis with AI
  • Algorithm design and implementation
  • Machine Learning and LLMs
  • DevOps and CI/CD processes

Nice-to-have

  • Innovative idea contribution
  • Stakeholder collaboration
  • Cutting-edge methods interest
  • Teamwork and collaboration

Key Requirements

  • Degree in Computer Science, Physics, Mathematics, Communications Engineering or similar
  • Strong analytical skills and statistics understanding
  • Excellent programming and software development experience
  • Fluent English and German language skills
  • Experience with Kubernetes is ideal

Work Rights

Not specified

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