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Data Scientist- RF/Acoustics Signal Processing

Cutsforth · Ferndale, WA · Remote · Active · $98,837–$154,546 / year · JazzHR / ApplyToJob

Job facts

FieldValue
CompanyCutsforth
TitleData Scientist- RF/Acoustics Signal Processing
Normalized title-
Department / team-
LocationFerndale, WA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$98,837–$154,546 / year
Statusactive
ATS providerJazzHR / ApplyToJob
Posted / first seen2026-06-17 / 2026-06-18
Changed / last seen2026-06-18 / 2026-06-22

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Linked records

CompanyCutsforth
Source85604323-ef5d-480b-81bc-b1acad29ea33
ATS providerJazzHR / ApplyToJob

Description

Role Information: 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: All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. Learn more about Cutsforth here: Cutsforth.com/About Read our Mission & Values here: Cutsforth.com/Values Compensation: $98,837 - $154,546, depending on years of experience Role Overview: Applies data science and machine learning to the analysis of radio frequency and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions across industrial, communications, and defense-adjacent applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking. Key Responsibilities: 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. Required Qualifications: 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 communications, Industrial Acoustics, or RF/Electronic Systems. Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio data. Proficiency 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 context. Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces. Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences. Knowledge of Electromagnetic Compliance techniques. Preferred Qualifications: Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related field. Experience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systems. Experience working with wireless protocols (4G/LTE, 5G, or military-equivalent). Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining. Familiarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environments. Background in military communications systems, avionics radar, or cellular infrastructure signal analysis. Familiarity 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 approaches. Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations. Amateur (Ham) Radio license or comparable hands-on RF communications background. Other Qualifications: Successfully pass background check for cybersecurity site access. Strong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional setting. Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow). Ability to work with uncertainty and incomplete information — comfortable forming and testing hypotheses when ground truth is limited. Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences. Self-directed and effective working remotely across cross-functional teams. Must reside in the United States; not accepting applicants in California, Illinois, or New York. Cybersecurity Role Expectations: Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role. Candidate is expected to maintain a cybersecure work environment. Benefit s: Paid Time Off Medical, Vision, Dental Insurance Health Savings Account with Employer contributions 401(k) with Employer match Short-term & Long-term Disability Coverage Accidental Death & Dismemberment Coverage Life Insurance Coverage Eight paid holidays per year All other benefits required by applicable law   Alignment with Corporate Values All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. Learn more about Cutsforth here: Cutsforth.com/About Read our Mission & Values here: Cutsforth.com/Values Equal Employment Opportunity Statement: Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause. For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants California Privacy Notice: If you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices. For Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants

Full job record

Job ID23063382883b744be85b0240c775b03255381e75
Org ID585c5a55-9991-4447-a688-ce5b753228ff
Source ID85604323-ef5d-480b-81bc-b1acad29ea33
Board ID85604323-ef5d-480b-81bc-b1acad29ea33
Providerjazzhr
Provider Job KeyLXq9eAyLxK
TitleData Scientist- RF/Acoustics Signal Processing
Normalized Title—
Statusactive
Activeyes
Location TextFerndale, WA
Department—
Team—
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionWA
CityFerndale
Salary RawCompensation: $98,837 - $154,546, depending on years of experience Role Overview: Applies data science and machin
Salary Min98,837
Salary Max154,546
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://careers.cutsforth.com/apply/LXq9eAyLxK/Data-Scientist-RFAcoustics-Signal-Processing
Apply URLhttps://careers.cutsforth.com/apply/LXq9eAyLxK/Data-Scientist-RFAcoustics-Signal-Processing
First Seen At2026-06-18 12:03:01Z
Last Seen At2026-06-22 14:37:00Z
Last Checked At2026-06-22 14:37:00Z
Last Changed At2026-06-18 12:03:01Z
Inactive At—
Source Posted At2026-06-17 00:00:00Z
Source Updated At—
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Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.\n Key Responsibilities: 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. 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    "description_html": "<span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Role Information:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Job Title:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Data Scientist — RF/Acoustics Signal Processing</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Work Location:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Fully remote position, home office- can <strong>NOT </strong>be located in NY, CA or IL</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Employment Type:</span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\"> Full-time</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Employment Status:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Exempt, salaried</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Visa sponsorship is </span><b><span style=\"font-family:Arial, sans-serif;\">not </span></b><span style=\"font-family:Arial, sans-serif;\">available for this position.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">We are </span><b><span style=\"font-family:Arial, sans-serif;\">not</span></b><span style=\"font-family:Arial, sans-serif;\"> accepting applicants for remote workers in California, Illinois, and New York at this time.</span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Alignment with Corporate <span style=\"letter-spacing:-0.1pt;\">Values:</span></span></span></u></span></span></strong></h1><span style=\"font-size:11pt;\"><span style=\"line-height:98%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</span></span></span></span><ul><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:12pt;\"><span><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Learn more about Cutsforth here: <u><span style=\"color:#0563c1;\"><span style=\"letter-spacing:-0.1pt;\">Cutsforth.com/About</span></span></u></span></span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:12pt;\"><span><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Read our Mission & Values here: <u><span style=\"color:#0563c1;\"><span style=\"letter-spacing:-0.1pt;\">Cutsforth.com/Values</span></span></u></span></span></span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Compensation:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">$98,837 - $154,546, depending on years of experience</span></span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Role <span style=\"letter-spacing:-0.1pt;\">Overview:</span></span></span></u></span></span></strong></h1><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Applies data science and machine learning to the analysis of radio frequency and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions across industrial, communications, and defense-adjacent applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.</span></span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Key Responsibilities:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Perform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomalies.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Analyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detection.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Use asset monitoring sensor data as measurement to characterize and validate signal data.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Required Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Direct industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic Systems.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio data.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Demonstrated use of RF measurement and analysis workflows, including use of spectrum analyzers, network analyzers, signal generators, and oscilloscopes in a professional engineering context.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Knowledge of Electromagnetic Compliance techniques.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Preferred Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related field.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systems.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience working with wireless protocols (4G/LTE, 5G, or military-equivalent).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environments.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Background in military communications systems, avionics radar, or cellular infrastructure signal analysis.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with multimodal data fusion, edge ML deployment, or physics-informed modeling approaches.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Amateur (Ham) Radio license or comparable hands-on RF communications background.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Other Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Successfully pass background check for cybersecurity site access.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional setting.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Ability to work with uncertainty and incomplete information — comfortable forming and testing hypotheses when ground truth is limited.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Self-directed and effective working remotely across cross-functional teams.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States; <strong>not</strong> accepting applicants in California, Illinois, or New York.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Cybersecurity Role Expectations:</span></u></b></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Candidate is expected to maintain a cybersecure work environment.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Benefit</span></u></b><b><u><span style=\"font-family:Arial, sans-serif;\">s:</span></u></b></span></span><ul><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Paid Time Off</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Medical, Vision, Dental Insurance</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Health Savings Account with Employer contributions</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">401(k) with Employer match</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Short-term & Long-term Disability Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Accidental Death & Dismemberment Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Life Insurance Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Eight paid holidays per year</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">All other benefits required by applicable law</span></span></span></span></li></ul><br> <p><strong>Alignment with Corporate Values</strong></p>\n\n<p>All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</p>\n\n<ul>\n\t<li>Learn more about Cutsforth here: <a href=\\\"https://www.cutsforth.com/about-us/about-cutsforth/\\\">Cutsforth.com/About</a></li>\n\t<li>Read our Mission & Values here: <a href=\\\"https://www.cutsforth.com/about-us/mission-values/\\\">Cutsforth.com/Values</a></li>\n</ul>\n\n<p><strong>Equal Employment Opportunity Statement:</strong></p>\n\n<p>Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.</p>\n\n<p>For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/2024-Cutsforth-Notice-to-Employees-Applicants.pdf\\\">EEO Notice to Employees & Applicants</a></p>\n\n<p><strong>California Privacy Notice:</strong><br />\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.<br />\n<br />\nFor Cutsforth's full CCPA Privacy Policy, click here <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/Cutsforth-LLC-CCPA-Notice-to-Applicants.pdf\\\">CCPA: California Privacy Notice to Applicants</a></p>\n\n<p> </p>",
    "description_text": "Role Information: Job Title: Data Scientist — RF/Acoustics Signal Processing\n Work Location: Fully remote position, home office- can NOT be located in NY, CA or IL\n Employment Type: Full-time\n Employment Status: Exempt, salaried\n Visa sponsorship is not available for this position.\n Must reside in the United States.\n We are not accepting applicants for remote workers in California, Illinois, and New York at this time.\n Alignment with Corporate Values:\n All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols. Learn more about Cutsforth here: Cutsforth.com/About\n Read our Mission & Values here: Cutsforth.com/Values\n Compensation: $98,837 - $154,546, depending on years of experience\n Role Overview:\n Applies data science and machine learning to the analysis of radio frequency and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions across industrial, communications, and defense-adjacent applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.\n Key Responsibilities: 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.\n Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.\n Perform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomalies.\n Analyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detection.\n Use asset monitoring sensor data as measurement to characterize and validate signal data.\n 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.\n Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.\n Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.\n Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.\n Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.\n Required Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required.\n 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.\n Direct industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic Systems.\n Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio data.\n Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow).\n Demonstrated use of RF measurement and analysis workflows, including use of spectrum analyzers, network analyzers, signal generators, and oscilloscopes in a professional engineering context.\n Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces.\n Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences.\n Knowledge of Electromagnetic Compliance techniques.\n Preferred Qualifications: Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related field.\n Experience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systems.\n Experience working with wireless protocols (4G/LTE, 5G, or military-equivalent).\n Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining.\n Familiarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environments.\n Background in military communications systems, avionics radar, or cellular infrastructure signal analysis.\n Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines).\n Experience with multimodal data fusion, edge ML deployment, or physics-informed modeling approaches.\n Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations.\n Amateur (Ham) Radio license or comparable hands-on RF communications background.\n Other Qualifications: Successfully pass background check for cybersecurity site access.\n Strong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional setting.\n Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow).\n Ability to work with uncertainty and incomplete information — comfortable forming and testing hypotheses when ground truth is limited.\n Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences.\n Self-directed and effective working remotely across cross-functional teams.\n Must reside in the United States; not accepting applicants in California, Illinois, or New York.\n Cybersecurity Role Expectations: Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.\n Candidate is expected to maintain a cybersecure work environment.\n Benefit s: Paid Time Off\n Medical, Vision, Dental Insurance\n Health Savings Account with Employer contributions\n 401(k) with Employer match\n Short-term & Long-term Disability Coverage\n Accidental Death & Dismemberment Coverage\n Life Insurance Coverage\n Eight paid holidays per year\n All other benefits required by applicable law\n  Alignment with Corporate Values\n All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.\n Learn more about Cutsforth here: Cutsforth.com/About\n Read our Mission & Values here: Cutsforth.com/Values\n Equal Employment Opportunity Statement:\n Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.\n For Cutsforth's full Equal Employment Opportunity Policy, click here: EEO Notice to Employees & Applicants\n California Privacy Notice:\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.\nFor Cutsforth's full CCPA Privacy Policy, click here CCPA: California Privacy Notice to Applicants",
    "jsonld_jobposting": {
      "url": "https://careers.cutsforth.com/apply/LXq9eAyLxK/Data-Scientist-RFAcoustics-Signal-Processing",
      "@type": "JobPosting",
      "title": "Data Scientist- RF/Acoustics Signal Processing",
      "@context": "http://schema.org/",
      "datePosted": "2026-06-17",
      "description": "<span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Role Information:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Job Title:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Data Scientist — RF/Acoustics Signal Processing</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Work Location:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Fully remote position, home office- can <strong>NOT </strong>be located in NY, CA or IL</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Employment Type:</span></span></strong><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\"> Full-time</span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><strong>Employment Status:</strong> </span></span><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-weight:normal;\">Exempt, salaried</span></span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Visa sponsorship is </span><b><span style=\"font-family:Arial, sans-serif;\">not </span></b><span style=\"font-family:Arial, sans-serif;\">available for this position.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States.</span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">We are </span><b><span style=\"font-family:Arial, sans-serif;\">not</span></b><span style=\"font-family:Arial, sans-serif;\"> accepting applicants for remote workers in California, Illinois, and New York at this time.</span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Alignment with Corporate <span style=\"letter-spacing:-0.1pt;\">Values:</span></span></span></u></span></span></strong></h1><span style=\"font-size:11pt;\"><span style=\"line-height:98%;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-family:Arial, sans-serif;\">All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</span></span></span></span><ul><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:12pt;\"><span><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Learn more about Cutsforth here: <u><span style=\"color:#0563c1;\"><span style=\"letter-spacing:-0.1pt;\">Cutsforth.com/About</span></span></u></span></span></span></span></span></span></li><li style=\"margin-left:8px;text-align:justify;\"><span style=\"font-size:12pt;\"><span><span><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Read our Mission & Values here: <u><span style=\"color:#0563c1;\"><span style=\"letter-spacing:-0.1pt;\">Cutsforth.com/Values</span></span></u></span></span></span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Compensation:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">$98,837 - $154,546, depending on years of experience</span></span></span></span></li></ul><h1 style=\"text-align:justify;\"><strong><span style=\"font-size:11pt;\"><span style=\"font-family:Calibri, sans-serif;\"><u><span style=\"font-size:12pt;\"><span style=\"font-family:Arial, sans-serif;\">Role <span style=\"letter-spacing:-0.1pt;\">Overview:</span></span></span></u></span></span></strong></h1><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Applies data science and machine learning to the analysis of radio frequency and acoustic signals, transforming raw time-series sensor data into actionable diagnostics and predictive insights. Partners with engineering and domain experts to design and deploy production-grade signal processing and ML solutions across industrial, communications, and defense-adjacent applications. Operates effectively in ambiguous problem spaces where signal quality, environmental noise, and domain constraints require both technical rigor and adaptive thinking.</span></span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Key Responsibilities:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Evaluate algorithm performance using both objective metrics and subjective measures, including integration with speech recognition engines where applicable.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Perform exploratory data analysis, feature engineering, and signal feature extraction on raw demodulated RF and acoustic data to surface patterns and anomalies.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Analyze and interpret signals from various electrical asset monitoring systems utilizing RF, acoustic, and signal processing expertise to support fault isolation and anomaly detection.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Use asset monitoring sensor data as measurement to characterize and validate signal data.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Contribute to end-to-end ML workflows including data ingestion, model training, inference, and monitoring for drift and degradation in live environments.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Collaborate with engineering, product, and domain SMEs to translate operational challenges into well-scoped data science solutions.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Communicate findings, model performance, and business value clearly through visualizations, written documentation, and presentations to technical and non-technical stakeholders.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Explore and evaluate emerging signal processing and AI techniques, recommending production incorporation where appropriate.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Required Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, or a closely related engineering discipline required.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">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.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Direct industry experience in one or more of: Aerospace, Telecommunications, Military/Defense communications, Industrial Acoustics, or RF/Electronic Systems.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Hands-on experience with time-series and signal processing techniques, including spectral analysis, filtering, and feature extraction from raw sensor or radio data.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proficiency in Python, including scientific computing libraries (NumPy, SciPy, pandas) and ML frameworks (scikit-learn, PyTorch, or TensorFlow).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Demonstrated use of RF measurement and analysis workflows, including use of spectrum analyzers, network analyzers, signal generators, and oscilloscopes in a professional engineering context.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong analytical and problem-solving skills with the capacity to work through ambiguous or data-sparse problem spaces.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Excellent written and verbal communication skills; ability to present technical findings to non-technical audiences.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Knowledge of Electromagnetic Compliance techniques.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Preferred Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Master’s degree in Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Acoustical Engineering, Aerospace Engineering, Data Science, or a related field.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with radar sensing, sonar, guided-wave radar, ultrasonic sensing, or capacitive sensing systems.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience working with wireless protocols (4G/LTE, 5G, or military-equivalent).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Demonstrated ability to own an ML model from prototype through production, including monitoring and retraining.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with beamforming, spatial filtering, or array signal processing in acoustic or RF environments.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Background in military communications systems, avionics radar, or cellular infrastructure signal analysis.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling (MLflow, Docker, Airflow, CI/CD pipelines).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Experience with multimodal data fusion, edge ML deployment, or physics-informed modeling approaches.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Active participation in the broader signal processing or data science community through publications, open-source projects, or conference presentations.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Amateur (Ham) Radio license or comparable hands-on RF communications background.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Other Qualifications:</span></u></b></span></span><ul><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Successfully pass background check for cybersecurity site access.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Strong foundation in signal processing theory and application, including experience with RF, acoustic, or time-series data in a professional setting.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Proficiency in Python for data manipulation, signal processing, and model development (NumPy, SciPy, pandas, scikit-learn, PyTorch or TensorFlow).</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Ability to work with uncertainty and incomplete information — comfortable forming and testing hypotheses when ground truth is limited.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Clear communicator capable of translating technical signal processing and ML findings to non-specialist audiences.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Self-directed and effective working remotely across cross-functional teams.</span></span></span></span></li><li style=\"margin-left:8px;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Must reside in the United States; <strong>not</strong> accepting applicants in California, Illinois, or New York.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Cybersecurity Role Expectations:</span></u></b></span></span><ul><li><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Candidate will be responsible for reviewing policies and procedures related to cybersecurity and those relevant to the functions of their role.</span></span></span></span></li><li><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Candidate is expected to maintain a cybersecure work environment.</span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><b><u><span style=\"font-family:Arial, sans-serif;\">Benefit</span></u></b><b><u><span style=\"font-family:Arial, sans-serif;\">s:</span></u></b></span></span><ul><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Paid Time Off</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Medical, Vision, Dental Insurance</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Health Savings Account with Employer contributions</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">401(k) with Employer match</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Short-term & Long-term Disability Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Accidental Death & Dismemberment Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Life Insurance Coverage</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">Eight paid holidays per year</span></span></span></span></li><li style=\"text-align:justify;\"><span style=\"font-size:12pt;\"><span style=\"font-family:Calibri, sans-serif;\"><span style=\"font-size:11pt;\"><span style=\"font-family:Arial, sans-serif;\">All other benefits required by applicable law</span></span></span></span></li></ul><br> <p><strong>Alignment with Corporate Values</strong></p>\n\n<p>All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth’s Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.</p>\n\n<ul>\n\t<li>Learn more about Cutsforth here: <a href=\\\"https://www.cutsforth.com/about-us/about-cutsforth/\\\">Cutsforth.com/About</a></li>\n\t<li>Read our Mission & Values here: <a href=\\\"https://www.cutsforth.com/about-us/mission-values/\\\">Cutsforth.com/Values</a></li>\n</ul>\n\n<p><strong>Equal Employment Opportunity Statement:</strong></p>\n\n<p>Cutsforth will not discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, or national origin. Cutsforth will take affirmative action to ensure that applicants are employed, and that employees are treated during employment, without regard to their race, color, religion, sex, sexual orientation, gender identity, or national origin. Such action shall include, but not be limited to the following: Employment, upgrading, demotion, or transfer, recruitment or recruitment advertising; layoff or termination; rates of pay or other forms of compensation; and selection for training, including apprenticeship. Cutsforth agrees to post in conspicuous places, available to employees and applicants for employment, notices to be provided by the provisions of this nondiscrimination clause.</p>\n\n<p>For Cutsforth's full Equal Employment Opportunity Policy, click here: <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/2024-Cutsforth-Notice-to-Employees-Applicants.pdf\\\">EEO Notice to Employees & Applicants</a></p>\n\n<p><strong>California Privacy Notice:</strong><br />\nIf you are a California resident, please review our California Job Applicant Privacy Policy for details regarding the personal information we collect during the hiring process, how we use it, and your rights under the CCPA. By submitting your application, you acknowledge that you have read and understand our privacy practices.<br />\n<br />\nFor Cutsforth's full CCPA Privacy Policy, click here <a href=\\\"https://www.cutsforth.com/wp-content/uploads/2026/06/Cutsforth-LLC-CCPA-Notice-to-Applicants.pdf\\\">CCPA: California Privacy Notice to Applicants</a></p>\n\n<p> </p>",
      "jobLocation": {
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          "addressRegion": "WA",
          "addressLocality": "Ferndale"
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      "validThrough": "2026-09-15",
      "uniqueJobCode": "job_20260617174351_02GWAOFOEZS15XCY",
      "employmentType": "FULL_TIME",
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        "name": "Cutsforth, LLC",
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  "list_job": {
    "id": "LXq9eAyLxK",
    "title": "Data Scientist- RF/Acoustics Signal Processing",
    "detailUrl": "https://cutsforth.applytojob.com/apply/jobs/details/LXq9eAyLxK?&"
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