Senior Data Scientist - Radar and Sensor Analytics

The Senior Data Scientist role at Fortem Technologies Inc focuses on converting raw radar returns into actionable intelligence. The position supports object classification for Fortem’s True View radar systems and extends capabilities across additional sensor modalities and drone telemetry while delivering models that can be evaluated and monitored in production.

• Develop and deploy machine learning models to classify objects detected by Fortem’s True View radar systems, including drones, birds, aircraft, and clutter.
• Analyze large volumes of radar returns and track data to identify features that improve detection and classification accuracy.
• Collaborate with radar and FPGA engineering teams to understand signal processing pipelines and identify data-driven opportunities.
• Build data pipelines and labeling workflows to curate and maintain high-quality training datasets.
• Extend classification capabilities to additional sensor modalities and drone telemetry data over time.
• Evaluate model performance in production, monitor for drift, and iterate on models and features.
• Communicate findings, tradeoffs, and recommendations to engineering and product stakeholders.
• Perform other related duties and tasks as assigned by engineering leadership.

• Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, or a related field, or equivalent experience.
• 5+ years of experience applying machine learning and data science to real-world sensor or time-series data.
• Strong proficiency in Python and standard ML and data libraries, including NumX, pandas, scikit-learn, PyTorch, and/or Tensor Flow.
• Experience working with radar, RF, or other raw sensor data.
• Solid understanding of classification, signal processing, and feature engineering techniques.
• Experience building and maintaining production ML pipelines.
• Strong communication skills, including the ability to translate ML results for a broader engineering audience.

• Experience with radar signal processing methods such as micro-Doppler, range-Doppler, and CFAR.
• Experience with drone or UAS detection and classification.
• Familiarity with sensor fusion or multi-target tracking algorithms.
• Experience with edge deployment of ML models, including embedded or low-power inference.
• Experience with MLOps tooling and model versioning.

• Python
• NumX
• pandas
• scikit-learn
• Py Torch
• Tensor Flow
• FPGA

Location: Lindon, UT (onsite).
Minimum experience: 5 years.