Data Scientist - SME

Job Description

Job Description

Overview

Data Scientist - SME

LOCATION: Eglin AFB, FL

JOB STATUS: Full-time

Certification: In accordance with DOD 8140

CLEARANCE: Top Secret

TRAVEL: 10%

Oasis Systems is seeking a highly skilled and motivated Data Scientist to join our advanced projects team in 96 CTG Detachment 2. The ideal candidate will perform detailed data analysis for a wide range of mission-critical test activities, including Air Force flight tests, network and software evaluations, datalinks analysis, and general Command, Control, Intelligence, Surveillance, and Reconnaissance (C2ISR) system assessments. You will be responsible for transforming complex, high-volume test data into actionable insights that drive system improvements and inform war-fighting capabilities.

REQUIRED QUALIFICATIONS / SKILLS

• Master's Degree and 10 years of applicable experienc.
• U.S. Citizenship is required.
• Must have an active Top Secret clearance.
• Strong proficiency in Python for data analysis is mandatory, including hands-on experience with libraries like Pandas, NumPy, and Scikit-learn.
• Proficiency with MATLAB for data analysis and modeling. Strong proficiency in Python for data analysis is mandatory, including hands-on experience with libraries like Pandas, NumPy, and Scikit-learn.
  
• Experience analyzing multiplexed data streams from flight test instrumentation, including MIL-STD-1553 bus data, PCM telemetry, and digital video.
• Demonstrated experience using SQL to query and manage data from relational databases.
• Solid understanding of fundamental statistical analysis and machine learning concepts (e.g., hypothesis testing, regression, classification).
• Excellent problem-solving and critical-thinking skills.

PREFERRED QUALIFICATIONS

• Previous experience in flight test, aviation, defense, or a similar systems testing environment is highly desirable.
• Experience with IRIG 106 Chapter 10 data formats.
• Experience analyzing data from C2ISR systems and other military datalinks.
• Familiarity with big data technologies (e.g., PySpark, Hadoop) and cloud computing platforms (e.g., AWS, Azure).
• Knowledge of Test and Evaluation (T) principles and practices within the Department of Defense.

RESPONSIBILITIES

• Design and execute detailed data analysis plans for data sourced from flight, network, software, datalinks, and C2ISR test events.
• Develop, train, and deploy machine learning models (e.g., classification, regression, clustering, time-series forecasting) for predictive analysis, anomaly detection, and root cause analysis.
• Utilize Python and its core data science libraries (such as Pandas, NumPy, Matplotlib, Scikit-learn) for data wrangling, statistical analysis, and creating compelling visualizations.
• Utilize MATLAB for data analysis, modeling, and simulation.
• Interface with large-scale relational databases using SQL to extract, manipulate, and prepare complex datasets for analysis.
• Collaborate with interdisciplinary teams of flight test engineers, software developers, cybersecurity analysts, and military personnel to understand test objectives and deliver relevant analytical products.
• Generate and present clear, concise reports and interactive data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders.
• Contribute to the automation of data analysis pipelines to improve efficiency and repeatability of analytical workflows.
• Stay current with the latest advancements in data science, machine learning, and their applications within the aerospace and defense industry.