Key Skills

Job Description

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. Apply on LinkedIn https://www.linkedin.com/jobs/view/4417310061/

Core Responsibilities

Analyze and clean large-scale sensing data, build repeatable pipelines, and develop, test, and evaluate detection and classification models. Collaborate with engineering to deploy models, assess field performance, and create tools for data visualization and debugging.

Requirements

Requires a bachelor's degree in Electrical Engineering or Physics, along with at least five years of professional Python experience and five years using machine learning and data analysis tools. Familiarity with signal processing, wireless communication or RF signals, and cloud environments is advantageous.