Data Scientist

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

The program will support US Special Operations Command (SOCOM) at MacDill AFB in Tampa, Florida.

This position is contingent upon contract award

This position requires a TS/SCI Clearance

Responsibilities

• Design, develop, and deploy machine learning models and algorithms to support UAS/sUAS threat detection, classification, tracking, and behavioral analysis in support of operational and programmatic requirements.
• Lead and support data science efforts across the full ML lifecycle, including data collection, preprocessing, feature engineering, model development, validation, deployment, and monitoring.
• Support the integration of ML models and AI-enabled capabilities into UAS/sUAS detection systems, ISR platforms, sensor fusion architectures, and command and control systems.
• Provide technical oversight and guidance during model testing, validation, and operational evaluation to ensure algorithm performance meets mission requirements and identify areas for improvement.
• Analyze large volumes of structured and unstructured data from multiple sources, including sensor data, imagery, signals, and open-source information, to develop actionable intelligence insights.
• Support the development and review of technical proposals, white papers, and research assessments related to AI/ML applications in UAS detection, counter-UAS operations, and autonomous systems.
• Coordinate with program managers, data engineers, and government stakeholders to ensure data pipelines, storage architectures, and computing infrastructure support ML model development and deployment at scale.
• Apply computer vision, natural language processing (NLP), and signal processing techniques to develop multi-domain analytical capabilities in support of UAS/sUAS threat analysis.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline; Master's degree or PhD preferred.
• Minimum of 5 years of experience in data science, machine learning, or artificial intelligence with a focus on defense, aerospace, or national security applications.
• Demonstrated experience with the full ML development lifecycle, including data preprocessing, model training, hyperparameter tuning, validation, and production deployment.
• Hands‑on experience with data engineering tools and platforms including SQL, Spark, Kafka, and cloud‑based data services such as AWS, Azure, or Google Cloud.
• Experience working with multi‑source sensor data, including RF signals, EO/IR imagery, radar, and acoustic data, to develop sensor fusion and anomaly detection capabilities is highly desirable.
• Strong analytical and problem‑solving skills with the ability to translate complex data findings into actionable insights and communicate results to both technical and non‑technical audiences.
• Experience with geospatial data analysis, trajectory modeling, or pattern of life analytics in support of UAS/sUAS or ISR applications is highly desirable.
• Familiarity with DoD data standards, cybersecurity requirements, and AI ethics frameworks including the DoD AI Strategy and Responsible AI guidelines.

Core One is anEqual Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation,national origin, or protected veteran status and will not be discriminated against on the basis of disability.