Position Overview - Data Scientist

Profile Summary

We are seeking an exceptional Data Scientist to join our European analytics and AI team. This role demands strong expertise in statistical modeling, machine learning, and data-driven problem solving, combined with a solid understanding of European data governance and compliance requirements. The successful candidate will design advanced models, generate actionable insights, and contribute to building scalable data solutions that align with international best practices and EU standards.

Key Responsibilities

• Design, develop, and deploy machine learning and statistical models for predictive and prescriptive analytics.
• Collect, preprocess, and validate large, diverse datasets from structured and unstructured sources.
• Perform exploratory data analysis, visualization, and hypothesis testing to identify patterns and actionable insights.
• Collaborate with engineering and product teams to integrate models into production environments.
• Ensure compliance with European data protection and privacy regulations, including GDPR, NIS2 and the EU AI Act.
• Develop reproducible pipelines for data processing, model training, and monitoring.
• Communicate findings effectively through clear reports, dashboards, and presentations to both technical and non-technical stakeholders.
• Stay ahead of developments in machine learning, AI ethics, and EU AI regulatory frameworks.
• Contribute to knowledge sharing, best practices, and mentorship within the data science team.

Qualifications & Experience

• Proven experience as a Data Scientist, Machine Learning Engineer, or equivalent role.
• Strong proficiency in Python or R, with experience in data science libraries, such as NumPy, pandas, scikit-learn, TensorFlow or PyTorch.
• Solid background in applied mathematics, statistics, and probability theory.
• Experience with data visualization tools like Tableau, matplotlib, Plotly, or similar.
• Familiarity with cloud-based data platforms and distributed computing frameworks, particularly Spark and Hadoop.
• Strong knowledge of data governance, anonymization, and security best practices under EU regulations.
• Track record of delivering production-ready machine learning solutions or published research.

Language & Communication Requirements

• Professional proficiency in English, written and spoken, is mandatory.
• Proficiency in an additional EU language, such as German, French, Spanish, Dutch or Italian, is strongly preferred.
• Excellent ability to communicate complex technical concepts to diverse stakeholders.

Visa & Work Authorization

• Candidates must be eligible to work within the European Union.
• Visa sponsorship and relocation assistance are available for exceptional candidates.
• EU Blue Card applications supported for highly qualified professionals.

Preferred Qualifications

• PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or related discipline.
• Industry certifications in machine learning, cloud platforms, or data science specializations.
• Experience with MLOps, model monitoring, and deployment best practices.
• Familiarity with ethical AI principles and EU AI Act compliance.
• Contributions to open-source projects, peer-reviewed publications, or EU-funded research initiatives, such as Horizon Europe or ENISA.

What We Offer

• Opportunity to solve complex, high-impact problems with data at scale.
• Access to advanced computing resources, cloud infrastructure, and research-grade datasets.
• Competitive salary, pension scheme, comprehensive benefits, and professional development opportunities.
• Visa sponsorship and relocation assistance for international candidates.
• A diverse, international workplace that values innovation, integrity, and collaboration across Europe.

How to Apply

Please submit your CV to interview@cypsec.de. Make sure to attach a motivation letter outlining your expertise and career aspirations, and at least two supporting documents, such as your portfolio, publications or GitHub projects. We carefully review all relevant applications and will reach out when an opportunity matches your profile. Incomplete applications cannot be considered. All applications will be handled within 5 business days.