[Remote] Data Scientist- RF/Acoustics Signal Processing

Note: The job is a remote job and is open to candidates in USA. Cutsforth is a company focused on innovative solutions in data science and signal processing. They are seeking a Data Scientist specializing in RF/Acoustics Signal Processing to analyze radio frequency and acoustic signals, transforming raw data into actionable insights and collaborating with engineering teams to deploy machine learning solutions.ResponsibilitiesDesign 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 techniquesEvaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicablePerform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomaliesAnalyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detectionUse asset monitoring sensor data as measurement to characterize and validate signal dataApply 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 systemsContribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environmentsCollaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutionsCommunicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholdersExplore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriateSkillsBachelor's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required5+ years of professional experience in data science, machine learning, or applied signal processing, with demonstrated work on RF, acoustic, ultrasonic, or communications signal dataDirect industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic SystemsHands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio dataProficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow)Demonstrated use of RF measurement and analysis workflows, including use of spectrum analyzers, network analyzers, signal generators, and oscilloscopes in a professional engineering contextStrong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spacesExcellent written and verbal communication skills; ability to present technical findings to non-technical audiencesKnowledge of Electromagnetic Compliance techniquesMaster's degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related fieldExperience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systemsExperience working with wireless protocols (4G/LTE, 5G, or military-equivalent)Demonstrated ability to own an ML model from prototype through production, including monitoring and retrainingFamiliarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environmentsBackground in military communications systems, avionics radar, or cellular infrastructure signal analysisFamiliarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines)Experience with multimodal data fusion, edge ML deployment, or physics-informed modeling approachesActive participation in the broader signal processing or data science community through publications, open-source projects, or conference presentationsAmateur (Ham) Radio license or comparable hands-on RF communications backgroundBenefitsPaid Time OffMedical, Vision, Dental InsuranceHealth Savings Account with Employer contributions401(k) with Employer matchShort-term & Long-term Disability CoverageAccidental Death & Dismemberment CoverageLife Insurance CoverageEight paid holidays per yearAll other benefits required by applicable lawCompany OverviewCutsforth is a small company providing innovative designs for brush holder and shaft grounding replacements and collector ring services. It was founded in 1991, and is headquartered in Ferndale, Washington, USA, with a workforce of 51-200 employees. Its website is https://www.cutsforth.com.