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Data Scientist - Innovation Management - Agentur fur Innovation in der Cybersicherheit GmbH
Data Scientist
Lead data-driven innovation projects in cybersecurity, applying Python and machine learning to uncover insights, build predictive models, and support strategic decision-making.
About the role
Key Responsibilities
- Design and implement end-to-end data pipelines using Python and SQL to collect, clean, and transform large cybersecurity datasets.
- Develop and validate machine learning models for threat detection, risk assessment, and predictive analytics.
- Collaborate with cross-functional teams to translate business challenges into analytical solutions and actionable insights.
- Present findings to stakeholders through clear visualizations and concise reports, driving data-informed innovation strategies.
- Stay current with emerging data science techniques and cybersecurity trends to continuously improve analytical capabilities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, or related field.
- Proven experience with Python, machine learning libraries (scikit-learn, TensorFlow, PyTorch), and SQL.
- Strong statistical background and ability to build robust predictive models.
- Excellent communication skills in German and English.
- Passion for cybersecurity and innovation-driven problem solving.
Skills
pythonmachine learningdata analysissql