
Data Scientist- RF/Acoustics Signal Processing
Job Description
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Scientist – RF/Acoustics Signal Processing based in the United States.
This role focuses on applying advanced data science and machine learning techniques to complex RF and acoustic signal environments. The successful candidate will transform high-volume, noisy time-series sensor data into actionable insights, diagnostics, and predictive models. Working fully remotely within the U.S. (excluding NY, CA, and IL), the role sits at the intersection of engineering, physics, and applied AI. You will collaborate closely with domain experts to solve ambiguous, real-world industrial and communications challenges. The position requires strong technical rigor in signal processing, along with the creativity to develop scalable ML solutions. It offers the opportunity to impact critical systems across industrial, telecommunications, and defense-adjacent applications. The environment is highly collaborative, data-driven, and innovation-focused.
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Scientist – RF/Acoustics Signal Processing based in the United States.
This role focuses on applying advanced data science and machine learning techniques to complex RF and acoustic signal environments. The successful candidate will transform high-volume, noisy time-series sensor data into actionable insights, diagnostics, and predictive models. Working fully remotely within the U.S. (excluding NY, CA, and IL), the role sits at the intersection of engineering, physics, and applied AI. You will collaborate closely with domain experts to solve ambiguous, real-world industrial and communications challenges. The position requires strong technical rigor in signal processing, along with the creativity to develop scalable ML solutions. It offers the opportunity to impact critical systems across industrial, telecommunications, and defense-adjacent applications. The environment is highly collaborative, data-driven, and innovation-focused.