remote
Data Scientist- RF/Acoustics Signal Processing - Cutsforth
Data Scientist
Remote Data Scientist specializing in RF and acoustic signal processing, leveraging Python, MATLAB, and machine‑learning techniques to develop advanced DSP algorithms and analytical models.
About the role
Key Responsibilities
- Design, implement, and validate RF and acoustic signal‑processing algorithms for research and product development.
- Develop machine‑learning models to enhance detection, classification, and anomaly‑identification in high‑frequency data streams.
- Collaborate with cross‑functional engineering teams to integrate DSP solutions into embedded and cloud‑based platforms.
- Analyze large datasets, perform statistical assessments, and generate actionable insights for performance optimization.
- Document methodologies, produce technical reports, and present findings to stakeholders.
Requirements
- Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Applied Physics, Computer Science, or a related field with a focus on signal processing.
- Proficiency in Python and MATLAB for algorithm development and data analysis.
- Strong background in digital signal processing, RF theory, and acoustic modeling.
- Experience applying machine‑learning techniques to time‑series or spectral data.
- Excellent problem‑solving skills and ability to work independently in a fully remote environment.
Skills
pythonmachine learning