Data Scientist - Navy Aircraft Anomaly Detection (Secret)

CACI International Inc.; Bethesda (MD); On-site; USD 67,000 - 133,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Career development

Job summary

CACI International Inc. is seeking a Data Scientist in Bethesda, MD, to advance maintenance detection algorithms for Boeing F/A-18 aircraft. You will gather and preprocess large datasets, write scalable code, and develop anomaly detection models to improve fleet readiness and maintenance actions.

You will collaborate with Aerospace Engineers, Software Engineers, and maintenance staff while leveraging MATLAB, Python, PowerBI, and SQL to deliver robust analytical solutions. U.S.

Qualifications

• Bachelor’s degree is required in Mechanical/Aerospace/CS.
• Proficiency in Python and MATLAB.
• Strong problem-solving and teamwork abilities.
• Excellent written and verbal communication.

Responsibilities

• Gather and preprocess large datasets from sensors, logs, and operations.
• Write clean, scalable code following best practices.
• Perform exploratory data analysis to identify trends and anomalies.
• Design and implement anomaly detection algorithms for maintenance data.
• Develop ML models to detect failures or malfunctions.
• Collaborate with engineers and maintenance personnel.

Skills

Python

MATLAB

Problem solving

Communication

Education

Bachelor's in Mechanical Engineering

Bachelor's in Aerospace Engineering

Bachelor's in Computer Science

Tools

PowerBI

SQL

Job description

CACI International Inc. is seeking a Data Scientist in Bethesda, MD, to advance maintenance detection algorithms for Boeing F/A-18 aircraft. You will gather and preprocess large datasets, write scalable code, and develop anomaly detection models to improve fleet readiness and maintenance actions.

You will collaborate with Aerospace Engineers, Software Engineers, and maintenance staff while leveraging MATLAB, Python, PowerBI, and SQL to deliver robust analytical solutions. U.S.