Senior Data Science

General information

• Start date:                          April 2026
• End date:                          31 December 2026
• Location:                            Hybrid, Eindhoven
• Contract type:                   Payroll / Freelance

About the company
Today the modern enterprise is an Enterprise of Things. Our client is on a mission to secure the Enterprise of Things with active defense by identifying, segmenting, and enforcing compliance of every connected thing, in real time and at scale. Their unified security platform enables enterprises and government agencies to focus on Zero Trust segmentation, IT/OT convergence and OT/ICS innovation, all supporting the mission and vision. Join them as they secure the world with their products. The company is looking for resourceful and gritty individuals to collaborate as one team while ensuring a world-class customer experience. They are cyber-obsessed about addressing the world’s most challenging security problems. Innovation starts here, everyone’s ideas are valued, visionaries welcomed!

About the role
Our client is looking for an experienced Senior Data Scientist to help improve how devices are identified and categorized using data-driven methods.

In this role, you will analyze large-scale network-derived data and design robust statistical and logical models that improve the accuracy, consistency, and coverage of device classification.

You will be taking full ownership of projects from analysis and design through implementation and validation, and will be expected to translate complex data signals into reliable, high-quality classification outcomes.

Your responsibilities

• Analyze device behaviour and network metadata to derive insights that improve device classification.
• Develop, refine, and maintain fingerprints and content used for device classification, ensuring accuracy and consistency.
• Investigate new device types, vendors, functions, and operating systems to expand classification coverage.
• Apply data science methods (statistical analysis, machine learning, pattern detection) to identify gaps and propose classification improvements.
• Collaborate with engineering and data teams when needed, while operating independently on day to day tasks.
• Adapt analysis to customer specific environments when required.

Requirements

• Master’s degree in Data Science, Computer Science, Cybersecurity, Machine Learning, or equivalent senior level experience.
• Experience with ML or AI applied to classification, anomaly detection, or behavioral modeling.
• Familiarity with large scale data processing or cloud based environments.
• Strong knowledge of computer networks (TCP/IP, DHCP, TLS, HTTP, ports/services, protocol behavior, fingerprints).
• Data science & analytics skills: Python, SQL, feature engineering, advanced analysis.
• Ownership and ability to work independently and own complex technical initiatives end to end.
• Excellent analytical thinking and clear communication skills.

Competences

• Autonomous, proactive, and comfortable solving open‑ended technical challenges.
• Strong network foundations + strong data science skills.
• High ownership mindset, capable of taking a problem from investigation to delivered content improvements.

Does this role spark your interest? Then please provide me with your most recent resume and contact details, so that we can discuss this vacancy more detailed by phone!

You can check other job opportunities on our website: Jobs – Magno IT