Senior Data Scientist - Radar and Sensor Analytics

FORTEM TECHNOLOGIES INC • Lindon, UT

7d

About The Position

Fortem Technologies is seeking a Senior Data Scientist to help turn raw radar returns into actionable intelligence. You will initially focus on classifying objects detected by Fortem’s TrueView radar systems — including drones, birds, aircraft, and other airspace traffic — and then expand your work to incorporate drone telemetry and additional sensor data as Fortem’s classification capabilities grow across the SkyDome Family of Systems.

Requirements

• Master’s or PhD in Computer Science, Data Science, Electrical Engineering, Statistics, or 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/data libraries (NumPy, pandas, scikit-learn, PyTorch, or TensorFlow)
• 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, with the ability to translate ML results for a broader engineering audience

Nice To Haves

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

Responsibilities

• Develop and deploy machine learning models to classify objects detected by Fortem’s TrueView radar systems (e.g., drones, birds, aircraft, 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 opportunities for data-driven improvements
• 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
• Other related duties and tasks as assigned by engineering leadership

What This Job Offers

• Job Type: Full-time
• Career Level: Senior