Senior Data Scientist

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

Mandatory Requirements

• At least a bachelor’s degree in Electrical Engineering or Physics.
• 5+ years professional experience with Python
• 5+ years professional experience using machine learning and data analysis tools.

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

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. Tested by Schiphol Airport Security and government security agencies.