Defense Data Scientist: ML for UAS Threat Detection

Coreone; Tampa (FL); On-site; USD 90,000 - 115,000; Full time

Job summary

Coreone is seeking a skilled data scientist to develop and deploy machine learning models for Unmanned Aerial Systems (UAS) threat detection and analysis. The role requires a Bachelor's degree in a relevant field and at least 5 years of experience in data science or machine learning.

Located at MacDill AFB in Tampa, Florida, the position combines technical oversight with hands-on data engineering. Candidates should be familiar with tools like SQL, Spark, and cloud services, and possess strong analytical skills to translate complex findings into actionable insights.

Qualifications

• 5+ years of experience in data science or machine learning.
• Experience with sensor data and fusion techniques.
• Strong analytical skills and ability to communicate insights.

Responsibilities

• Develop machine learning models for UAS threat detection.
• Lead data science efforts throughout the ML lifecycle.
• Coordinate with stakeholders to support ML model deployment.

Skills

Data Science and ML

SQL

Geospatial Data Analysis

Signal Processing

NLP

Education

Bachelor's degree in a relevant technical field

Master's degree or PhD preferred

Tools

Spark

Kafka

AWS

Azure

Google Cloud

Job description

Coreone is seeking a skilled data scientist to develop and deploy machine learning models for Unmanned Aerial Systems (UAS) threat detection and analysis. The role requires a Bachelor's degree in a relevant field and at least 5 years of experience in data science or machine learning.

Located at MacDill AFB in Tampa, Florida, the position combines technical oversight with hands-on data engineering. Candidates should be familiar with tools like SQL, Spark, and cloud services, and possess strong analytical skills to translate complex findings into actionable insights.