Waving
About the Role
Role summary
Waving is looking for a Data Scientist who is meticulous, organized, and precise in handling data. You will work hands-on with real-world sensing data, build and validate detection models, and help translate experiments into reliable performance in operational environments.
The ideal candidate is highly independent, learns quickly, and can take ownership of tasks end-to-end, from data exploration and tooling to model development and evaluation.
Responsibilities
Analyze and clean large-scale sensing datasets, create repeatable pipelines and clear documentation
Develop, test, and improve models for detection and classification
Design experiments and evaluation methodologies, define metrics, and report results clearly
Work closely with engineering to deploy models and iterate based on field performance
Build lightweight tooling to visualize data, debug edge cases, and accelerate iteration
Requirements
Mandatory Requirements
At least a bachelor’s degree in Electrical Engineering or Physics.
Strong proficiency in Python.
Experience using machine learning tools and performing data analysis.
Advantages
Familiarity with signal processing, wireless communication, or RF signals.
Experience working in a cloud environment.
Nice to have
Signal processing experience (time-series, filtering, FFT, feature extraction)
Familiarity with wireless communication or RF sensing concepts
Experience working with cloud environments
About the Company
Waving creates an invisible security layer that detects human presence indoors and outdoors, even through walls and around corners. Built for critical infrastructure and high-security sites, our technology reduces blind spots and false alarms, strengthens patrol and camera effectiveness, and integrates seamlessly into existing control rooms, all while preserving complete privacy. Trusted by Schiphol Airport Security and government security agencies.