Data Scientist - RF/Acoustics Signal Processing - Cutsforth, LLC

• Job Title: Data Scientist — RF/Acoustics Signal Processing
• Work Location: Fully remote position, home office- can NOT be located in NY, CA or IL
• Employment Type: Full-time
• Employment Status: Exempt, salaried
• Visa sponsorship is not available for this position.
• Must reside in the United States.
• We are not accepting applicants for remote workers in California, Illinois, and New York at this time.

Alignment with Corporate Values:

• Learn more about Cutsforth here: Cutsforth.com/About
• Read our Mission & Values here: Cutsforth.com/Values
• $98,837 - $154,546, depending on years of experience

Role Overview:

• Design and develop signal processing pipelines and machine learning models that operate on RF, acoustic, and time-series sensor data, including beamforming, BSS, spectral subtraction, matched filtering, wavelet decomposition, and time-frequency analysis techniques.
• Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.
• Perform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomalies.
• Analyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detection.
• Use asset monitoring sensor data as measurement to characterize and validate signal data.
• Apply data-driven signal processing methods to characterize and isolate faults at the subsystem, component, and LRU level — identifying root causes from spectral, RF, and acoustic sensor data in complex industrial systems.
• Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.
• Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.
• Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.
• Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required.
• 5+ years of professional experience in data science, machine learning, or applied signal processing, with demonstrated work on RF, acoustic, ultrasonic, or communications signal data.
• Direct industry experience in one or more of: Aerospace, Telecommunications, Military/Defense c