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Data Scientist - Infrastructure Management - Deutsche Telekom AG
Data Scientist
Data Scientist focused on infrastructure management, leveraging Python, machine learning, and AWS to analyze and optimize large-scale IT operations. Drive data-driven decisions and automation across cloud and on-premise environments.
About the role
Key Responsibilities
- Develop and deploy machine learning models to predict and prevent infrastructure failures.
- Design and maintain data pipelines for real‑time monitoring of network and server metrics.
- Collaborate with DevOps and security teams to integrate insights into automated remediation workflows.
- Analyze large datasets using SQL and Python to uncover trends and recommend capacity planning strategies.
- Document findings and present actionable insights to technical and non‑technical stakeholders.
Requirements
- Strong programming skills in Python and experience with data science libraries (pandas, scikit‑learn, TensorFlow).
- Hands‑on experience with AWS services (S3, EC2, Lambda, CloudWatch) and data lake architectures.
- Proficiency in SQL and data modeling for large, distributed datasets.
- Background in infrastructure monitoring, performance tuning, or related fields.
- Excellent analytical, communication, and problem‑solving skills.
Skills
pythonmachine learningawssql